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ai training research scientist est

Prolific

<div>
 <strong>
  AI Trainer &ndash; Research Scientists
  <br/>
  <br/>
 </strong>
 <em>
  <strong>
   About Prolific
   <br/>
   <br/>
  </strong>
 </em>
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
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 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
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 <em>
  <strong>
   The role
   <br/>
   <br/>
  </strong>
 </em>
 We&rsquo;re looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world&rsquo;s biggest AI labs. If you have the necessary experience, we&rsquo;ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a Domain Expert participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
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 Researchers looking for your skills tend to pay up to &pound;50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
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 <br/>
 <em>
  <strong>
   What you&rsquo;ll be doing in the role
   <br/>
   <br/>
  </strong>
 </em>
 Completing AI training tasks such as analyzing, editing, and writing research-focused content
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 Judging the performance of AI on research design, methodology, and scientific reasoning prompts
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 Improving cutting-edge AI models using your experience in research and experimentation
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 <em>
  <strong>
   What you&rsquo;ll bring
   <br/>
   <br/>
  </strong>
 </em>
 Experience working as a Research Scientist or in a closely related research role
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 A strong understanding of scientific methodology, experimental design, and data analysis
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 A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
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 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
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 A reliable and fast internet connection and access to a computer
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 A Paypal account to receive payment from our clients*
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 <br/>
 <em>
  <strong>
   Why Prolific is a great platform to join as a Domain Expert participant
   <br/>
   <br/>
  </strong>
 </em>
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
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 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
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 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
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 <br/>
 <ul>
  <li>
   Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.
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  </li>
 </ul>
 <strong>
  Links to more information on Prolific
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  <br/>
 </strong>
 Website
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 Youtube
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 <br/>
 Privacy Statement
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 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.
</div>


AI Training - Research Scientist (EST)

Anthropic

<div>
 <strong>
  <strong>
   About Anthropic
   <br/>
   <br/>
  </strong>
 </strong>
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company&rsquo;s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You&rsquo;ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
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 <strong>
  <strong>
   Core Responsibilities
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   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Define key metrics, build measurement frameworks, and maintain core reporting to evaluate success
  </li>
  <li>
   Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations
  </li>
  <li>
   Develop hypotheses, apply rigorous causal inference methods &ndash; controlled experiments, synthetic controls &ndash; and analyze the results in order make actionable recommendations
  </li>
  <li>
   Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
  </li>
  <li>
   Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
  </li>
  <li>
   Present complex analyses and recommendations to both technical and non-technical stakeholders
  </li>
  <li>
   Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   You May Be a Good Fit If You Have:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   5+ years of experience in data science or analytics roles
  </li>
  <li>
   Deep expertise with Python, SQL, and data visualization tools
  </li>
  <li>
   Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
  </li>
  <li>
   Highly effective written communication and presentation skills
  </li>
  <li>
   A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
  </li>
  <li>
   A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
  </li>
  <li>
   A passion for the company&rsquo;s mission of building helpful, honest, and harmless AI
  </li>
  <li>
   Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;re hiring across multiple pillars
 <br/>
 <br/>
 Applying for this role will allow you to be considered for all pillars currently hiring. You will be asked to select a preference when submitting an application.
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 <strong>
  Platform Product Data Scientist
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  <br/>
 </strong>
 You will partner closely with product, engineering, and go-to-market teams to understand how developers and enterprise customers build on and adopt the Claude Developer Platform&mdash;spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You'll identify growth opportunities, surface insights about how AI agents are being built and deployed at scale, and drive data-informed decisions that shape our platform roadmap.
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 <strong>
  Strong Candidates May Have:
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  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
  </li>
  <li>
   Experience supporting B2B sales teams with data insights
  </li>
  <li>
   Strong instincts for what drives product adoption, engagement, and retention
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Consumer Data Scientist
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  <br/>
 </strong>
 You will be embedded with our Consumer product team. This team is responsible for building all consumer-facing Claude experiences&mdash;including web, mobile, desktop, and browser extensions. In this role, you'll shape how millions of users interact with Claude daily, driving product insights to product recommendations for interfaces that are intuitive, responsive, and push the boundaries of what AI-powered applications can be.
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 <strong>
  Strong Candidates May Have:
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  <br/>
 </strong>
 <ul>
  <li>
   Experience working closely with Product and Engineering teams on consumer products across multiple platforms (web, iOS, Android, desktop, browser extensions)
  </li>
  <li>
   Demonstrated impact on product roadmap and strategy from data deep dives in consumer growth, engagement and retention
  </li>
  <li>
   Expert in experimentation, holding a high statistical bar for measuring the impact of core product changes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Research Product Data Scientist
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  <br/>
 </strong>
 You will work closely with product, engineering, and research leaders to bring data-driven rigor to every phase of model development and launch. Sitting at the true bleeding edge of putting frontier AI research into the public domain, you will leverage data from both external customers and internal testing to define and measure key company success metrics, and analyze user and model behavior to identify new opportunities to push the frontier.
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 <strong>
  Strong Candidates May Have:
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  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Product or Research teams, preferably working with LLM or AI products
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  <li>
   Comfort working with unstructured data
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   <br/>
  </li>
 </ul>
 <strong>
  Enterprise &amp; Verticals Product Data Scientist
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  <br/>
 </strong>
 You will be embedded with our Enterprise &amp; Verticals product team - this team is responsible for transforming the way businesses work, enabling enterprise users to know more, create more, and see more with Claude. You'll partner closely with product, engineering, design, sales, and customer success to understand enterprise customers and deliver data-driven insights to improve how Claude serves knowledge workers.
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 <strong>
  Strong Candidates May Have:
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  <br/>
 </strong>
 <ul>
  <li>
   Experience evaluating new verticals and driving data insights to help the team find PMF for 0-&gt;1 bets
  </li>
  <li>
   Deep understanding over knowledge workers and experience partnering with product teams to build for the Enterprise
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   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Enterprise Product Data Scientist
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  <br/>
 </strong>
 You will be embedded with our Claude Code product team to drive data-informed decision making as we scale this revolutionary developer tool to meet the needs of Enterprise businesses. Working at the intersection of AI capabilities research and product development, you'll help us understand how developers interact with AI coding assistants, measure the impact of our tool on developer productivity, and identify opportunities to enhance the developer experience.
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 <strong>
  Strong Candidates May Have:
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  <br/>
 </strong>
 <ul>
  <li>
   Deep familiarity with software development workflows, developer tools, and engineering productivity metrics&mdash;ideally from working at developer-focused companies or on products targeting software engineers
  </li>
  <li>
   Experience analyzing human-AI interaction patterns, particularly in code generation or developer tooling contexts
  </li>
  <li>
   Experience supporting product teams building for the Enterprise
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   <br/>
  </li>
 </ul>
 <strong>
  Enterprise Marketing Data Scientist
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  <br/>
 </strong>
 You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation as we introduce Claude to Enterprise businesses.
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 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
  </li>
  <li>
   Familiarity with both B2C and B2B/Enterprise marketing analytics, and a holistic view of how different marketing programs support one another
  </li>
  <li>
   Experience working at multi-segment, multi-product B2B companies serving Enterprise customers
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   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Marketing Data Scientist
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  <br/>
 </strong>
 You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation as we bring Claude Code to the world.
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 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
  </li>
  <li>
   Familiarity with both B2C and B2B/Enterprise marketing analytics, and a holistic view of how different marketing programs support one another
  </li>
  <li>
   Experience building, selling or marketing developer tools
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   <br/>
  </li>
 </ul>
 <strong>
  GTM Data Scientist
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  <br/>
 </strong>
 This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn messy, high-stakes commercial data into actionable strategy. You will play a crucial role in driving data-informed decisions across the commercial customer lifecycle&mdash;from new logo acquisition through activation, expansion, and retention&mdash;for a rapidly scaling consumption-based AI platform.
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 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models
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   <br/>
  </li>
 </ul>
 <strong>
  Infrastructure Data Scientist
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  <br/>
 </strong>
 You'll be at the intersection of data science and infrastructure, using rigorous analysis to understand how platform performance impacts user behavior and identifying high-impact opportunities to improve our systems' reliability and responsiveness. You'll quantify user sensitivity to latency, reliability, errors, and refusal rates, then translate these insights into actionable recommendations that drive meaningful improvements to our platform infrastructure.
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 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with distributed systems and performance engineering, ideally in ML infrastructure contexts (model serving, inference latency, large-scale system metrics)
  </li>
  <li>
   Familiarity with SRE practices, error budgets, SLOs/SLIs, observability tools, APM systems, and infrastructure monitoring platforms (e.g., Prometheus, Grafana, DataDog)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Developer Productivity Data Scientist
  <br/>
  <br/>
 </strong>
 This role sits at the intersection of data science, developer experience, and AI tooling &mdash; and offers the rare opportunity to study frontier AI usage from the inside, with the builders themselves as your users. You'll define how Anthropic understands and improves developer productivity &mdash; both through classic software engineering effectiveness measures and through the emerging challenge of understanding AI-augmented development workflows. You'll own the quantitative foundation for how Anthropic's engineers build: what slows them down, what accelerates them, where tooling investments pay off, and how AI-assisted development is changing the shape of engineering work. Your analyses will directly inform infrastructure priorities, tooling roadmaps, and how we think about scaling engineering output as Anthropic grows.
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 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct experience working with developer productivity, infrastructure, performance, or platform teams in hypergrowth environments
  </li>
  <li>
   Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics
   <br/>
   <br/>
  </li>
 </ul>
 The annual compensation range for this role is listed below.
 <br/>
 <br/>
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 <br/>
 <br/>
 <strong>
  Annual Salary:
  <br/>
  <br/>
 </strong>
 $275,000&mdash;$370,000 USD
 <br/>
 <br/>
 <strong>
  Logistics
  <br/>
  <br/>
 </strong>
 <strong>
  Education requirements:
 </strong>
 We require at least a Bachelor's degree in a related field or equivalent experience.
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 <br/>
 <strong>
  Location-based hybrid policy:
 </strong>
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 <br/>
 <br/>
 <strong>
  Visa sponsorship:
 </strong>
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 <br/>
 <br/>
 <strong>
  We encourage you to apply even if you do not believe you meet every single qualification.
 </strong>
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 <br/>
 <br/>
 <strong>
  Your safety matters to us.
 </strong>
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 <br/>
 <br/>
 <strong>
  <strong>
   How We're Different
   <br/>
   <br/>
  </strong>
 </strong>
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 <br/>
 <br/>
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 <br/>
 <br/>
 <strong>
  Come work with us!
  <br/>
  <br/>
 </strong>
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 <strong>
  Guidance on Candidates' AI Usage:
 </strong>
 Learn about our policy for using AI in our application process
</div>


Data Scientist

Citi

<div><p><b>Data Scientist, Generative AI &amp; Capital Markets - Spread Products</b></p><p></p><p><b>
About Spread Products at Citi Markets</b></p><p>
Citi's Spread Products division stands at the forefront of capital markets, delivering essential liquidity and pioneering solutions across the global credit and securitized landscape. This dynamic and high-impact group encompasses origination, structuring, investing, lending, and market making activities across an extensive spectrum of products, including corporate and emerging market bonds, asset-backed and mortgage-backed securities (ABS/MBS), collateralized loan obligations (CLOs), and complex derivative instruments. As a core component of Citi's Markets division, we empower clients with critical capital and innovative financial instruments.</p><p></p><p><b>
The Opportunity: Data Scientist, Generative AI - Spread Products</b></p><p>
We are actively expanding our dedicated Data Science team within Spread Products, seeking an innovative Data Scientist passionate about leveraging advanced data science techniques and artificial intelligence. This is a unique opportunity to drive the development and widespread adoption of cutting-edge AI solutions, particularly in Generative AI, across all facets of our business, directly impacting trading, risk management, and client solutions in capital markets.</p><p><b>
Key Responsibilities</b></p><p><b>
AI Solution Development</b></p><ul><li><b>
Pioneer Generative AI Solutions:</b> Design, develop, and deploy production-grade AI applications leveraging state-of-the-art Generative AI techniques, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced agentic frameworks tailored for capital markets.</li><li><b>
Drive Workflow Transformation:</b> Construct innovative AI/data solutions that significantly enhance workflows and operational efficiency across a diverse range of product classes, such as corporate bonds, Mortgage-Backed Securities (MBS), Collateralized Loan Obligations (CLOs), and derivative instruments.</li><li><b>
Advance Autonomous Systems:</b> Architect and implement agentic coding systems capable of autonomously generating, testing, and optimizing complex financial models and analytical tools specifically for credit and securitized markets.</li><li><b>
Build Intelligent Interfaces:</b> Develop intuitive conversational AI interfaces and intelligent assistants to empower originators, structurers, investors, lenders, and market makers within the Spread Products ecosystem.</li></ul><p><b>
Data Engineering &amp; Integration</b></p><ul><li><b>
Engineer Robust Data Pipelines:</b> Design, construct, and maintain scalable data pipelines to underpin advanced AI/ML workflows, seamlessly integrating vast datasets including real-time market data, comprehensive credit data, securitized product performance analytics, and proprietary research content.</li><li><b>
Seamless AI Integration:</b> Develop robust APIs and microservices to effectively embed AI capabilities into Citi's critical capital markets, credit, and securitized product platforms.</li><li><b>
Optimize Data Infrastructure:</b> Implement and optimize high-performance data storage and retrieval solutions capable of managing and processing large volumes of complex credit and securitized market data for demanding AI applications.</li><li><b>
Champion Data Automation:</b> Contribute to the strategic automation and lifecycle management of data assets across the entire Spread Products business.</li></ul><p><b>
Collaboration &amp; Innovation</b></p><ul><li><b>
Strategic Business Partnership:</b> Actively collaborate with diverse business stakeholders across all product lines and geographies within Spread Products to identify, prioritize, and champion high-impact AI implementation opportunities.</li><li><b>
Quant Research Synergy:</b> Partner closely with quantitative researchers to integrate cutting-edge AI techniques into sophisticated credit and securitization pricing, advanced risk models, and optimized portfolio management strategies.</li><li><b>
Regulatory Adherence &amp; Governance:</b> Work proactively with compliance, legal, and risk management teams to ensure all AI solutions adhere strictly to regulatory frameworks and governance requirements specific to the capital markets domain.</li><li><b>
Continuous Learning &amp; Innovation:</b> Maintain deep expertise in emerging AI technologies, methodologies, and industry trends, continuously evaluating their potential applicability and value to Spread Products' evolving business needs.</li><li><b>
Foster AI Community:</b> Actively contribute to and engage with Citi's broader AI/ML community of practice, fostering knowledge sharing, best practices, and collaborative innovation across the firm.</li></ul><p></p><p><b>
Required Qualifications</b></p><p><b>
Education</b></p><ul><li>
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Quantitative Finance, or a closely related quantitative field.</li><li>
Exceptional academic grounding in algorithms, data structures, software engineering principles, and computational mathematics.</li></ul><p><b>
Professional Experience</b></p><ul><li>
1-5 years of progressive professional experience in AI/ML engineering, advanced software development, or data science roles, with a strong preference for backgrounds within financial services or capital markets.</li><li>
Proven track record of successfully designing, developing, and deploying robust, production-grade AI applications in complex environments.</li><li>
Direct experience or strong foundational understanding of credit markets, securitized products, or other relevant financial instruments is highly advantageous.</li></ul><p><b>
Technical Expertise</b></p><p><b>
Generative AI &amp; Machine Learning:</b></p><ul><li>
Deep, hands-on experience with state-of-the-art Generative AI techniques, including practical application and fine-tuning of Large Language Models (LLMs) such as GPT, Claude, Llama, or similar architectures.</li><li>
Demonstrated expertise in designing and implementing Retrieval-Augmented Generation (RAG) systems for enterprise applications.</li><li>
Practical experience with agentic frameworks and the development of autonomous coding or intelligent decision-making systems.</li><li>
Comprehensive knowledge of classical and modern machine learning algorithms, statistical modeling, and experimental design.</li><li>
Solid understanding of financial mathematics, quantitative modeling, and their application within capital markets.</li></ul><p><b>
Programming &amp; Development:</b></p><ul><li>
Demonstrated proficiency in Python, including experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) and software development best practices (e.g., version control, testing, clean code).</li><li>
Advanced SQL skills with experience querying and optimizing performance on large, complex datasets.</li></ul><p><b>
What We Offer</b></p><ul><li>
An intellectually stimulating and fast-paced environment at the intersection of cutting-edge AI and global capital markets.</li><li>
Opportunity to work on high-impact projects that directly shape the future of finance.</li><li>
Access to vast datasets and state-of-the-art computational resources.</li><li>
A culture of continuous learning, innovation, and professional growth within a leading global financial institution.</li><li>
Competitive compensation and benefits package.</li></ul><p></p><p>
-</p><p><b>
Job Family Group:
</b></p>Institutional Trading<p>
-</p><p><b>
Job Family:</b></p>
Trading<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
New York New York United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$175,000.00 - $250,000.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Mar 18, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Data Scientist, Generative AI - Spread Products

BMO Financial Group

151 W 42nd Street New York New York,10036
<br>
<div><p><b>About the Team</b></p><p>
BMO&rsquo;s Applied AI team is responsible for building high‑performing, safe, and reliable AI systems that power real banking experiences. The Evaluations group within Applied AI develops the methods, datasets, and tooling that measure quality, safety, and performance across the full AI lifecycle. Working closely with product, engineering, and research partners, the team ensures evaluation signals are deeply embedded into training loops, deployment workflows, and continuous monitoring processes. This group operates at the intersection of data science, machine learning, and responsible AI, enabling scalable, repeatable, and trustworthy evaluation of advanced AI systems.</p><div></div><p><b>
About the Role</b></p><p>
The AI Evaluation Scientist is an individual contributor role focused on delivering the <b>data science stream</b> of AI evaluations. This includes designing, implementing, and productionizing evaluation methods, metrics, and datasets that directly influence modeling decisions, product quality, and the safety posture of AI systems across the bank. You will work hands‑on with complex models&mdash;particularly LLMs and deep learning systems&mdash;developing rigorous empirical analyses that surface model weaknesses, performance trends, and risk signals.</p><p>
In this role, you will translate evaluation standards into robust, maintainable evaluation code and workflows. You will collaborate with engineers to integrate evaluation signals into CI/CD and training pipelines, and work with product and research partners to ensure evaluation insights meaningfully shape model improvements. This position is highly technical, experimental, and delivery‑oriented, with a strong emphasis on applied data science, reproducible experimentation, and responsible AI practices.</p><div></div><p><b>
Key Responsibilities</b></p><ul><li>
Design and implement advanced evaluation methods for LLMs and ML systems, including robustness, reliability, fairness, explainability, calibration, and safety‑and-performance-focused metrics.</li><li>
Build and maintain high‑quality evaluation datasets, golden sets, challenge sets, and red‑teaming corpora tailored to real banking workflows.</li><li>
Develop reusable evaluation harnesses and pipelines that support multi‑agent workflows, tool use, and retrieval‑augmented generation scenarios.</li><li>
Conduct empirical analyses, including statistical tests, error analysis, and ablation studies, to identify model weaknesses and guide model and product improvements.</li><li>
Integrate evaluation metrics and signals into model training loops, deployment gating checks, and continuous monitoring processes.</li><li>
Prototype and validate novel evaluation algorithms inspired by current research in LLM safety, interpretability, and reliability, and convert prototypes into maintainable components.</li><li>
Produce clear, actionable evaluation reports that translate technical findings into insights for engineering, modeling, product, and business stakeholders.</li><li>
Collaborate with engineering, research, and product teams to align evaluation requirements and deliver production‑ready evaluation capabilities.</li><li>
Ensure reproducibility and reliability of evaluation results through dataset versioning, configuration control, testing practices, and documentation.</li></ul><div></div><p><b>
Qualifications</b></p><ul><li>
7+ years of experience in data science, machine learning, or AI development, with at least 3 years focused on evaluation, safety, reliability, or model performance analysis.</li><li>
Master&rsquo;s or PhD in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field, or equivalent practical experience.</li><li>
Strong proficiency in Python and SQL, with experience using PyTorch or TensorFlow, scikit‑learn, and modern data science libraries.</li><li>
Demonstrated experience building evaluation pipelines for LLMs or ML systems, including metric implementation, dataset creation, and CI/CD integration.</li><li>
Solid understanding of statistical testing, calibration, sampling design, and error analysis.</li><li>
Experience with evaluation of RAG systems, tool‑use workflows, long‑context scenarios, adversarial/jailbreak attacks, toxicity/bias detection, or privacy/PII leakage tests.</li><li>
Familiarity with MLOps/LLMOps practices, including experiment tracking, artifact management, and cloud‑based ML infrastructure.</li><li>
Strong communication skills with the ability to translate complex evaluation findings for both technical and non‑technical audiences.</li><li>
Experience with interpretability or fairness techniques (e.g., SHAP, counterfactuals, model probing) is an asset.</li><li>
Contributions to research or open‑source projects in evaluation, safety, reliability, or interpretability are an asset.</li></ul><p></p>
<p><b>Salary:</b></p><p>
$122,400.00 - $228,000.00</p><p><b>
Pay Type:</b></p><p>
Salaried</p><p>
The above represents BMO Financial Group&rsquo;s pay range and type.</p><p>
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.</p><p>
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards</p>
<p><b>About Us</b></p><p>
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.</p><p>
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.</p><p>
To find out more visit us at https://jobs.bmo.com/us/en
</p><p>BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.</p><p>
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.</p><p>
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</p></div>

AI Evaluations Engineer

New York City Department of Environmental Protection

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>EWRM Field Staff
</b></h1></div><div><div><div><div><ul><li>DEPT OF ENVIRONMENT PROTECTION
</li></ul></div></div><div><div>Posted On: 03/11/2026
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>NYC-ALL BOROS</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>LEFRAK CITY - DB</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$87,743.00 &ndash; $110,120.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><div>The NYC Department of Environmental Protection (DEP) enriches the environment and protects public health for all New Yorkers by providing 1.1 billion gallons of high quality drinking water, managing wastewater and stormwater, and reducing air, noise, and hazardous materials pollution. DEP is the largest combined municipal water and wastewater utility in the country, with nearly 6,000 employees. DEP's water supply system is comprised of 19 reservoirs and 3 controlled lakes throughout the system&rsquo;s 2,000 square mile watershed that extends 125 miles north and west of the city.
<br>
<br>
The Bureau of Water Supply seeks to hire a City Research Scientist II for a position in the Drinking Water Quality (DWQ) Early Warning Remote Monitoring (EWRM) section, Drinking Water Operations (DWO) Directorate located in Queens, New York. The DWQ EWRM section is responsible for monitoring and ensuring that online data and communications from entry to distribution system locations, and other key locations from within the NYC distribution system, are functioning and within specifications.
<br>
<br>
Under direction of the Deputy Chief of Field Operations, the City Research Scientist II will be responsible for planning and directing the technical and administrative operations of the unit. Specific duties include:
<br>
<br>
<ul><li>Drafting, reviewing, updating, implementing, and enforcing Standard Operating Procedures (SOPs).
</li></ul><br>
<ul><li>Ensures field data cards, and computer records supported by assigned staff hold all required and relevant data (including quality control) and evaluates accuracy and appropriateness.
</li></ul><br>
<ul><li>Evaluate and recommend new online water quality instrumentation, assisting with and coordinating meter troubleshooting and data transmission issues, and sample pump issues or replacement with other DEP divisions.
</li></ul><br>
<ul><li>Aid in coordinating the daily technical and operation of the DWQ EWRM unit including emergencies 24 hours a day, 365 days a year.
</li></ul><br>
<ul><li>Responds to Bureau/Agency or contractors activities on matters such as reservoir maintenance, shutdowns, and treatment changes that may affect EWRM&rsquo;s online instrumentation.
</li></ul><br>
<ul><li>Act as a liaison with BWS Management Services and Budget on operational issues such as vehicle, facilities and procurement.
</li></ul><br>
<ul><li>Assist the Deputy Chief of Field Operations in administrative matters of the EWRM Section.
</li></ul><br>
<ul><li>Assists the Deputy Chief and Assistant Supervisor in developing work schedules to ensure 365 days per year coverage for the DWQ EWRM staff and coordinating schedules with DWQ Field supervisors to ensure support for all DWQ Field programs.<br>
</li></ul><br>
<br>
(This is a brief description of what you might do in this position and does not include all the duties of this position.)<br>
<br>
<br>
<br>
Some of the physical activities performed by the City Research Scientist II and the environmental conditions experienced are: working outside in all weather conditions, traversing shaft ladders and walkways; maintaining and wearing required PPE; able to occupy underground utility structures or enclosed spaces for extended duration; handling and operating field and office equipment such as spectrophotometers and pH meters, which require chemicals, acidifying or filtering samples, etc.; operating a motor vehicle in all weather conditions and terrain; and move and transport online water quality equipment and coolers filled with sample bottles.<br>
<br>
<br>
<br>
<br>
Additional Information: The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.<br>
<br>
CITY RESEARCH SCIENTIST - 21744</div><p><b><br>
Minimum Qualifications</b></p><p><br>
1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
<br>
To be appointed to Assignment Level II and above, candidates must have:
<br>
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
<br>
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
<br>
3. Education and/or experience which is equivalent to &quot;1&quot; or &quot;2&quot; above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in &quot;2&quot; above. Two years as a City Research Scientist Level I can be substituted for the experience required in &quot;1&quot; and &quot;2&quot; above.
<br>
<br>
NOTE:
<br>
Probationary Period
<br>
Appointments to this position are subject to a minimum probationary period of one year.</p><p><b><br>
Preferred Skills</b></p><br>
- Understanding of accredited drinking water testing methods as well as thorough knowledge of applicable Federal and State drinking water regulations - Familiarity of WISKI, Adobe, Starlims, ISCO autosampler program, as well LIMS - Strong organizational, technical, writing and communication skills - Knowledge of DWQ data compilation protocols, including use of programs such as ITScriptNet, Geographic GIS, Water Information Systems by KISTERS (WISKI) and SharePoint tracking sheets. - Experience with installing, evaluating, and maintaining online water quality instrumentation. - Familiarity with personal data capture devices and Campbell Scientific data logger programs - Microsoft Office suite software including Excel, Word, Access, and Power Point<br>
<p><b>
Public Service Loan Forgiveness</b></p><br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.<br>
<p><b>
Residency Requirement</b></p><br>
New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>772480</div>
</div></div><div><div><div><div>Posted until
</div><div>05/09/2026</div>
</div></div></div><div><div><div><div>Title code
</div><div>21744</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>CITY RESEARCH SCIENTIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>EWRM Field Staff</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>02</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>96-05 Horace Harding Expway</div>
</div></div></div><div><div><ul><li><div>Category: </div>Health
</li></ul></div></div></div></div></div></div><div><div><div><div><div>EWRM Field Staff</div></div></div></div></div></div><p></p>

EWRM Field Staff

The Voleon Group

<div>
 Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
 <br/>
 <br/>
 Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals.
 <br/>
 <br/>
 In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
 <br/>
 <br/>
 The Voleon Group is forming a new team to help advance our data-driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds
  </li>
  <li>
   Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders
  </li>
  <li>
   Perform extemporaneous analyses on research and production trading systems with leadership
  </li>
  <li>
   Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems
  </li>
  <li>
   Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization
  </li>
  <li>
   Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions
  </li>
  <li>
   Ability to frame and answer questions mathematically
  </li>
  <li>
   Ability to infer useful forward-looking directions from results of retrospective analysis
  </li>
  <li>
   Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R
  </li>
  <li>
   Basic software development skills and experience with bash, linux/unix, and git
  </li>
  <li>
   Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication
  </li>
  <li>
   Bachelor&rsquo;s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in a quantitative discipline
  </li>
  <li>
   Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships
  </li>
  <li>
   Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 The base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&amp;D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.
 <br/>
 <br/>
 <strong>
  &ldquo;Friends of Voleon&rdquo; Candidate Referral Program
  <br/>
  <br/>
 </strong>
 If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program .
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 <br/>
 <br/>
</div>


Data Scientist (New York)

NYC Housing Authority

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Data Scientist
</b></h1></div><div><div><div><div><ul><li>NYC HOUSING AUTHORITY
</li></ul></div></div><div><div>Posted On: 03/11/2026
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>NYC-ALL BOROS</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>Environmental Health &amp; Safety</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$87,743.00 &ndash; $110,120.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><div>The New York City Housing Authority (NYCHA) is the nation&rsquo;s largest public housing authority, with an operating budget of $3.3 billion and over 11,000 employees who manage and maintain 325 developments that house about 400,000 residents. NYCHA also operates the country&rsquo;s largest Section 8 program, which provides rental assistance to about 200,000 additional people.<br>
<br>
Overview<br>
EHS is responsible for &ldquo;analyzing, overseeing, and improving environmental health and safety at NYCHA, which shall include but not be limited to issues relating to lead-based paint, mold, heating, pests, elevators, air quality, and other aspects of NYCHA&rsquo;s physical environment that affect residents&rsquo; health or safety&rdquo;, &ldquo;reporting to NYCHA&rsquo;s senior management and Board on environmental health and safety issues&rdquo; and &ldquo;making recommendations to NYCHA&rsquo;s senior management and Board for improvement and correction of any environmental health and safety issues at NYCHA&rdquo;. EHS fulfills this obligation through the extensive data and report management work conducted by the Analysis and Engagement Unit (AEU).
<br>
<br>
About the Position<br>
As a key driver of data-driven decision-making, the Data Scientist will play a pivotal role in shaping analytical strategies and insights for the Analysis and Reporting Team. Reporting directly to the Administrator, the Data Scientist will work across all teams to provide support on various data technical projects, data analytics; data quality activities; including building insightful PowerBI dashboards that assist in data driven analysis. The ideal candidate will be a self-starter who can work independently and is comfortable working in a fast-paced, deadline-sensitive environment. This position requires a highly analytical and results-oriented professional who is an effective project manager, a strategic leader, and a skilled communicator with a strong problem-solving mindset. Additionally, they should possess a continuous improvement approach, balancing urgent priorities with long-term analytical advancements.<br>
Responsibilities include, but are not limited to the following:<br>
<br>
Data Product Development<br>
<ul><li>Build tools required to document the observations of the Specialists conducting inspections which includes EHS scoring model, ensure comprehensive gathering of business requirements is conducted and documented while also ensuring that there is a uniformity with taxonomies and data structure.
</li><li>Develop targeted reports, EHS dashboards, and data visualization models that surface key information and trends related to the EHS oversight findings.
</li><li>Shadow Business Unit Specialists in the field during oversight inspection to assist in creating documentation tools to capture real life inspection conditions.
</li><li>Lead the planning and implementation of AEU projects ensuring projects are completed according to outlined objectives, and project timelines.
</li><li>Create and maintain comprehensive project documentation, project tasks; minutes; actions items, including preparing project progress reports.
</li></ul><br>
Reporting/Analysis<br>
<ul><li>Prepare recurring and ad-hoc reports on EH&amp;S program performance using Power BI, Smartsheet, and Excel, ensuring accurate and timely insights for senior management and Business Units. Develop interactive dashboards and data visualizations to enhance decision-making and stakeholder engagement.
</li><li>Perform data wrangling, exploratory data analysis (EDA), ETL process, and advanced statistical modeling using Python, SQL, Power BI, Excel to derive actionable insights from EH&amp;S data, enabling evidence-based decision-making and guiding the EH&amp;S Officer in developing effective, data-driven program strategies for Authority-wide improvements.</li><li>Develop, optimize, debug, maintain data pipelines using Power BI and Smartsheet ensuring data integrity, performance, and security and apply predictive models to answer complex and nuanced questions about the EHS programs and anticipate future needs and behavior of the systems; prepare reports and briefing materials.</li><li>Assist with the establishment of performance metrics and reporting cycles.</li></ul><br>
Data Quality Assurance
<br>
<ul><li>Review portfolio data to identify anomalies and ensure timely corrections are made to ensure accurate reporting; escalate any unresolved discrepancies.</li><li>Ensure all data is validated doing a crosswalk of the exported results; supporting documentation; and submitted Activity Reports, in addition to conducting peer reviews.</li><li>Build and maintain a DQA report identifying user errors; DQA activities; other metrics required.
</li><li>Provide DQA training to all users.
</li><li>Ensure Data Discrepancies Log is maintained.</li></ul><br>
Data Product Management<br>
<ul><li>Ensure tools developed by AEU are functioning according to requirements, includes but not limited to; reviewing and monitoring data pipelines regularly; managing user permissions; managing product file storage and security, addressing Smartsheet Mastersheet function limits; and automation workflow functions.
</li><li>Assist with monitoring and maintaining EHS Power BI dashboards and ensure any system anomalies, defects, performance issues are identified, diagnosed, and resolved in timely manner.
</li><li>Maintain Product Change Logs; includes tracking dashboard and checklists form versions.</li></ul><br>
Project Management<br>
<ul><li>Assist AEU Administrator and Deputy Director project manage department and agency wide projects that support EHS&rsquo; mission to improve environmental health and safety at NYCHA.</li><li>Liaise with the IT project Management Office (PMO) on EHS projects.
</li><li>Build/Maintain EHS Master project status dashboard.
</li></ul><br>
Special Projects:<br>
<ul><li>Perform special projects, ad-hoc analysis, and prepare relevant reports and presentations as assigned.</li></ul><br>
Additional Information<br>
1. NYCHA employees applying for promotional, title or level change opportunities must have served a period of one year at current location and in current title and level (if applicable).<br>
2. NYCHA residents are encouraged to apply.<br>
<br>
Please read this posting carefully to make certain you meet the qualification requirements before applying to this position.<br>
<br>
CITY RESEARCH SCIENTIST - 21744</div><p><b><br>
Minimum Qualifications</b></p><p><br>
1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
<br>
To be appointed to Assignment Level II and above, candidates must have:
<br>
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
<br>
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
<br>
3. Education and/or experience which is equivalent to &quot;1&quot; or &quot;2&quot; above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in &quot;2&quot; above. Two years as a City Research Scientist Level I can be substituted for the experience required in &quot;1&quot; and &quot;2&quot; above.
<br>
<br>
NOTE:
<br>
Probationary Period
<br>
Appointments to this position are subject to a minimum probationary period of one year.</p><p><b><br>
Preferred Skills</b></p><br>
1. Must know Oracle SQL and Power BI, Python, ML Algorithms, Statistics. 2. Advance knowledge in Microsoft Excel, creating formulas pivots data visualization. 3. Working knowledge of Smartsheet, tools, methods, and concepts of quality assurance. 4. Ability to use data and metrics to drive decisions and measure performance. 5. Exceptional interpersonal skills, including verbal and written communications, executive staff management and conflict resolution 6. Excellent administrative and organizational skills. 7. Ability to manage relationships, balance competing priorities, and manage up and down. 8. Experience managing high-priority projects and tracking project life-cycles. 9. Experience working collaboratively to develop and execute project plans. 10. Ability to make timely and effective decisions and produce results through strategic planning. 11. Firm working knowledge of Microsoft Project, Word, and Excel. 12. A leader with the ability to cultivate creativity and innovation while enforcing accountability and maintaining high levels of work ethic. 13. Experience collaborating with a diversity of cultures and sensitive to the challenges of low-income populations. 14. Knowledge in housing, health and/or environmental policy is a plus.<br>
<p><b>
Public Service Loan Forgiveness</b></p><br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.<br>
<p><b>
Residency Requirement</b></p><br>
NYCHA has no residency requirements.<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>771842</div>
</div></div><div><div><div><div>Posted until
</div><div>05/09/2026</div>
</div></div></div><div><div><div><div>Title code
</div><div>21744</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>CITY RESEARCH SCIENTIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>Data Scientist</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>02</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>Environmental Health &amp; Safety</div>
</div></div></div><div><div><ul><li><div>Category: </div>Technology, Data &amp; Innovation
</li></ul></div></div></div></div></div></div><div><div><div><div><div>Data Scientist</div></div></div></div></div></div><p></p>

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