data analyst

data engineer

senior data engineer

data analytics engineer

data engineer intern

data scientist

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.
 <br/>
 <br/>
 <strong>
  <strong>
   Core Responsibilities
   <br/>
   <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.
 <br/>
 <br/>
 <strong>
  Platform Product Data Scientist
  <br/>
  <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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 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <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
  <br/>
  <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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 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <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
  <br/>
  <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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 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Product or Research teams, preferably working with LLM or AI products
  </li>
  <li>
   Comfort working with unstructured data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise &amp; Verticals Product Data Scientist
  <br/>
  <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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 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Enterprise Product Data Scientist
  <br/>
  <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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 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise Marketing Data Scientist
  <br/>
  <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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 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Marketing Data Scientist
  <br/>
  <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.
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  GTM Data Scientist
  <br/>
  <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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 <br/>
 <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
   <br/>
   <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.
 <br/>
 <br/>
 <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.
 <br/>
 <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

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>

Uber

<div>
 <strong>
  Employer:
 </strong>
 Uber Technologies, Inc.
 <br/>
 <br/>
 <strong>
  Job Title:
 </strong>
 Data Scientist
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 New York, New York
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Rate of Pay:
 </strong>
 $155,000 to $189,000 per year
 <br/>
 <br/>
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 <br/>
 <br/>
 <strong>
  Duties:
 </strong>
 Leverage data to perform intensive analysis across all areas of business to drive product development. Design experiments and analyze results to draw conclusions. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends. Build models to enhance understanding of user behavior and predict future performance of cohorts. Create dashboards and reports to regularly communicate results and monitor key metrics. Extract data from warehouse, back-test the model, and compare the model performance and communicate the results. Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience. May telecommute.
 <br/>
 <br/>
 Employer will accept a Master's degree in Engineering (Any), Information Technology, Information Management, Information Systems, Mathematics, Statistics, or related field and two years of experience in the job offered or related occupation.
 <br/>
 <br/>
 <strong>
  Position Requires
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   R or Python;
  </li>
  <li>
   Database query languages: SQL;
  </li>
  <li>
   Experimentation techniques including simulation or A/B testing;
  </li>
  <li>
   Statistical analysis including descriptive statistics, correlation, regression, or confidence intervals;
  </li>
  <li>
   Developing relevant metrics;
  </li>
  <li>
   KPIs to measure performance by product teams;
  </li>
  <li>
   Quantitative modeling including machine learning models, time-series forecasting, or casual impact analyses.
  </li>
 </ul>
</div>


FanDuel

<div>
 <strong>
  THE POSITION
  <br/>
  <br/>
 </strong>
 Our roster has an opening with your name on it
 <br/>
 <br/>
 FanDuel is looking for a Data Scientist, to drive our Sportsbook customer generosity distribution and bonus spend optimization. In this role you will be responsible for customer segmentation, modeling, automation, reporting and data analysis across all areas of Sportsbook generosity distribution. Using your numerical and technology capabilities you will play a key role in bonus spend research, optimization and communication of results to CRM and Commercial senior management.
 <br/>
 <br/>
 This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded, and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems.
 <br/>
 <br/>
 <strong>
  THE GAME PLAN
  <br/>
  <br/>
 </strong>
 Everyone on our team has a part to play
 <br/>
 <br/>
 <ul>
  <li>
   Take on data science projects from start to finish, including working with stakeholders to agree project KPIs, and reporting on progress and outcomes throughout projects at agreed cadence
  </li>
  <li>
   Deliver high-quality analysis, customer segmentation and predictive models which help drive incremental revenue through optimal automated bonus spend distribution
  </li>
  <li>
   Improve our understanding of customer behaviors, efficiency of promotions, and effectiveness of bonus spend
  </li>
  <li>
   Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling
  </li>
  <li>
   Create, modify, and evolve models which solve business problems, and show demonstrable improvements to department KPIs
  </li>
  <li>
   Demonstrate accurate insights and predictions using easy to interpret visualizations and clear explanations of results, recommendations, methods, biases and limitations
  </li>
  <li>
   Work with Data Engineering and Analytics Engineer to optimize data quality and data modeling pipelines
  </li>
  <li>
   Take responsibility to learn the necessary skills and techniques, to develop ability to work with independence, integrity and accuracy
  </li>
  <li>
   Collaborate with key stakeholders to help in identifying areas for improvement, and support their strategic objectives
  </li>
  <li>
   Assist in coaching, developing and performance managing less experienced team members
  </li>
  <li>
   Contribute new ideas for data science projects which have demonstrable potential to improve revenue performance or customer experience
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  THE STATS
  <br/>
  <br/>
 </strong>
 What we're looking for in our next teammate
 <br/>
 <br/>
 <ul>
  <li>
   Minimum of 3+ years of previous Data Science or Analytics Experience
  </li>
  <li>
   Minimum 1+ years building and deploying complex machine learning models with real world applications
  </li>
  <li>
   Have a developed technical skill set which facilitates high-quality, efficient &amp; comprehensive quantitative analysis
  </li>
  <li>
   Proficient in SQL and experience of manipulating large datasets in Microsoft Excel
  </li>
  <li>
   Proficient in statistical or programming software and techniques (e.g. in Python, R, C#, VBA, etc.)
  </li>
  <li>
   Strong communication and presentation skills, experienced in explaining technical projects to non-technical stakeholders
  </li>
  <li>
   Experience working with data visualization tools like Tableau an advantage
  </li>
  <li>
   Undergraduate degree in a numerate or technical discipline
  </li>
  <li>
   Interest in sports is a plus
  </li>
  <li>
   Interest or experience in the Sports betting industry is an advantage
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Fanduel
  <br/>
  <br/>
 </strong>
 FanDuel Group is the premier mobile gaming company in the United States. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America&rsquo;s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry&rsquo;s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
 <br/>
 <br/>
 In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states and Puerto Rico.
 <br/>
 <br/>
 The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company&rsquo;s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
 <br/>
 <br/>
 FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
 <br/>
 <br/>
 <strong>
  Player Benefits
  <br/>
  <br/>
 </strong>
 We treat our team right
 <br/>
 <br/>
 We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here:
 <strong>
  FanDuel Total Rewards
 </strong>
 . *Benefits differ across location, role, and level.
 <br/>
 <br/>
 FanDuel is an equal opportunities employer and we believe, as one of our principles states, &ldquo;We are One Team!&rdquo;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
 <br/>
 <br/>
 <strong>
  <em>
   The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
   <br/>
   <br/>
  </em>
 </strong>
</div>


Roku

<div>
 <p>
  Teamwork makes the stream work.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Roku is changing how the world watches TV
  </strong>
 </p>
 <p>
  Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 </p>
 <p>
  From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the team
  </strong>
 </p>
 <p>
  The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role
  </strong>
 </p>
 <p>
  Roku is looking for a Data Scientist to join the Core Analytics team and provide support for our Customer Intelligence function, part of the broader Planning &amp; Optimization team. Together, we answer high-impact business questions from senior leaders with clear, decision-ready insights. You&rsquo;ll work on customer analytics that directly shape how Roku grows engagement, retention and monetization across the streaming ecosystem, with visibility to cross-functional leaders and meaningful ownership over high-impact questions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role is more than analytics and is intentionally &ldquo;business-forward&rdquo;. We're looking for someone who can translate customer behavior into metrics and narratives which can help define our customer strategy, and/or measure the impact of initiatives on customer behavior. You&rsquo;ll be expected to translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables. Familiarity with causal inference/experimentation is important; deep specialization is a plus but not required. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of NYC.
 </p>
 <p>
  For New York Only - The estimated annual salary for this position is between $135,000-$153,000 annually.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you'll be doing
  </strong>
 </p>
 <ul>
  <li>
   Own end-to-end analyses: scope the question, define success metrics, pull data, analyze, synthesize, and deliver data-driven narratives.
  </li>
  <li>
   Drive stakeholder alignment: clarify objectives, assumptions, tradeoffs, and decision points; ensure outputs are usable.
  </li>
  <li>
   Build crisp storytelling &amp; presentations: create executive-ready readouts (slides, memos) with clear &ldquo;so what / now what.&rdquo;
  </li>
  <li>
   Develop SQL and Python-based workflows: write and review SQL/Python code to create datasets, compute KPIs, and validate results; use Airflow to maintain and build new pipelines when needed.
  </li>
  <li>
   Create reporting in Tableau/Looker: develop dashboards or recurring scorecards that make performance tracking easier and reduce ad-hoc churn.
  </li>
  <li>
   Measurement &amp; causal thinking: apply or partner on quasi-experimental approaches (e.g., diff-in-diff, propensity matching, synthetic controls) with appropriate caveats to address incrementality questions.
  </li>
  <li>
   Raise analytical quality: ensure statistical rigor, bias awareness, and clear limitations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We're excited if you have
  </strong>
 </p>
 <ul>
  <li>
   3+ years (or equivalent) in analytics/data science roles driving business decisions (tech, media, marketplaces, consumer products, etc.).
  </li>
  <li>
   Strong SQL (joins, window functions, building analysis-ready tables, QA/validation).
  </li>
  <li>
   Proficiency in Excel to work with data, tables and visualization.
  </li>
  <li>
   Strong ability to communicate insights: structured thinking, clear writing, confident presenting to non-technical and executive audiences.
  </li>
  <li>
   Solid foundation in statistics (hypothesis testing, confidence intervals, regression basics).
  </li>
  <li>
   Experienced with Python for analysis and data pipeline production (via Airflow).
  </li>
  <li>
   Hands-on experience with visualization tools like Tableau or Looker
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Hybrid Work Approach
  </strong>
 </p>
 <p>
  Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Accommodations
  </strong>
 </p>
 <p>
  Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Roku Culture
  </strong>
 </p>
 <p>
  Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 </p>
 <p>
  We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 </p>
 <p>
  To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 </p>
 <p>
  <br/>
 </p>
 <p>
  By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 </p>
</div>


Spotify

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
Our mission on the Advertising Product &amp; Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for our fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.</div></div><div><div><div><br>
</div><div>We are currently recruiting for a Data Scientist within the multidisciplinary Advertising Product Insights team. This role is focused on supporting the scaling of the future of Spotify Advertising, our self-service advertising platform, Spotify Ads Manager. Our work sits at the intersection of R&amp;D and the Ads business, and we are responsible for bringing the right data and insights to our breadth of stakeholders to understand Spotify Ads Manager performance, and the advertiser experience with Spotify.</div><div><br>
</div><div>Our mission is to enable the product and business teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use a range of data science tools and capabilities to work closely with product, design, engineering, user research, product marketing, and our business stakeholders on one or more of the following areas:</div><div><br>
</div><div>Customer facing product development for advertisers</div><div>
Data requirements and management for our ever expanding platform</div><div>
Spotify Advertiser and Spotify Ads Manager growth initiatives</div><div>
Experimentation, causal inference and Insights for Spotify Ads Manager optimization</div><div>
Defining new metrics, forecasts, and benchmarks for product evolution</div><div>
Evolving Ads Manager self-service performance and UX reporting
</div></div></div></div><div><div><p>What You'll Do</p><ul><ul><li>
Perform analyses on large sets of data to extract practical insights that will help drive product, platform and business decisions throughout all stages of the product development lifecycle</li><li>
Define data requirements and support the implementation of data specs for product launches</li><li>
Support the management and maintenance of the Spotify Ads Manager&rsquo;s data and reporting (including dashboards) ecosystem</li><li>
Build lasting solutions to surface critical data and performance metrics</li><li>
Design and conduct experiments to drive iterative improvement to both user and advertiser metrics through efficient experimentation</li><li>
Communicate data-driven insights and recommendations to key partners</li><li>
Develop individually to continue to grow your impact, and help mentor peers and early career colleagues</li></ul></ul></div></div><div><div><p>
Who You Are</p><ul><ul><li>
You have 3+ years experience in a similar data science role</li><li>
You are interested in supporting the growth of a maturing platform, building the foundation for the future of Spotify Advertising</li><li>
Ideally you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, product teams, sales teams or marketing teams</li><li>
You have the technical competence to perform more advanced analytics: Coding skills for analytics and data extraction (SQL, Python - packages such as pandas and numpy) and Data visualization (Tableau, Looker, matplotlib)</li><li>
You have experience performing analysis with large datasets</li><li>
You have a strong understanding of statistics and machine learning</li><li>
You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis</li><li>
You are capable of solving very loosely defined problems</li><li>
You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms</li><li>
You are curious, exhibit a growth mindset and are excited by working on a constantly evolving team</li></ul></ul></div></div><div><div><p>
Where You'll Be</p><ul><ul><li>
We are a distributed workforce enabling our band members to find a work mode that is best for them!</li><li>
Where in the world? For this role, it can be anywhere in the North America region in which we have a work location</li><li>
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.</li><li>
Working hours? We operate within the Eastern time zone for collaboration.</li></ul></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $107,766 - $153,951, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Data Scientist, Advertising

Norm AI

<div><p><b>About Norm Ai</b></p><p>
Norm Ai, the leading Legal &amp; Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.</p><p></p><p>
Norm&rsquo;s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.</p><p></p><p>
We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).</p><p></p><p>
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm&rsquo;s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.</p><p></p><p>
Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.<br>
<br>
<b>AI Fluency:
</b><br>
<br>
Norm Ai expects all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.<br>
<br>
Candidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of tools, workflows, and outcomes. We look for practical, hands-on experience, not theoretical familiarity.</p><p><b>
About Norm Law</b></p><p>
Norm Law is the first AI-native full-service law firm for global institutional clients like Blackstone (see recent coverage of our Blackstone partnership here). Legal Engineering, a discipline pioneered by Norm Ai, where lawyers develop legal AI agents, powers Norm Law to deliver faster, more precise, and more consistent legal services. With purpose-built AI agents completing first passes of work, Norm lawyers supervise, review, and focus on what matters most: strategic judgment and expert advice.</p><p>
Norm Law and Norm Ai, together, are building Legal AGI.</p><p></p><p><b>
This Role</b></p><p>
As a Senior Data Scientist at Norm, you will join our growing data team to build and scale our analytics capabilities. You'll develop data models and insights that power our AI compliance engine and shape how we measure, understand, and optimize our product. Working directly with our Director of Data and cross-functional partners in Product, Engineering, and Executive teams, you will translate complex Compliance and Legal Engineering workflows into actionable insights while helping establish best practices and foundations for our expanding analytics function.</p><p><b>
You Will:</b></p><ul><li><p>
Design and maintain multi-dimensional measurement frameworks for evaluating AI performance across the Norm Law workflow</p></li><li><p>
Analyze telemetry and behavioral logs to understand how attorneys, legal engineers, and clients interact with AI-generated work, surfacing drivers of quality and efficiency</p></li><li><p>
Design and run experiments with rigorous statistical design, clear hypotheses, and honest accounting of real-world constraints</p></li><li><p>
Develop frameworks to measure and communicate performance across key dimensions of legal work quality</p></li><li><p>
Implement product analytics to understand how enterprise clients engage with our AI-driven compliance and legal workflows</p></li><li><p>
Build self-service analytics capabilities so legal engineers and business stakeholders can monitor performance independently</p></li><li><p>
Build data models; contributing to ELTprocesses using dbt, Airflow, and our cloud data warehouse</p></li><li><p>
Help establish data governance practices that meet enterprise security and regulatory compliance requirements</p></li></ul><p><b>
Skills &amp; Experience - Core</b></p><ul><li><p>
5-7 years of data science experience with demonstrable statistical depth</p></li><li><p>
1-2 years of data engineering exposure</p></li><li><p>
Data Science experience and strong experimental design skills such as hypothesis testing, A/B testing</p></li><li><p>
Experience defining and measuring quality in ambiguous, multi-dimensional settings</p></li><li><p>
Proficiency with SQL, Python, and modern data stack tools (dbt, Hex, Airflow, Snowflake/BigQuery/Redshift)</p></li><li><p>
Strong analytical background with experience at small startups where you've worn multiple data hats</p></li><li><p>
Experience building analytics from scratch at early-stage companies</p></li><li><p>
B2B SaaS experience with understanding of enterprise customer analytics</p></li><li><p>
Ability to translate complex business questions into technical data solutions</p></li></ul><p><b>
Skills &amp; Experience - Pluses</b></p><ul><li><p>
Experience with AI/ML model evaluation: precision/recall trade-offs, calibration, distribution shift, behavioral monitoring</p></li><li><p>
Experience working with sparse labels or human-in-the-loop evaluation set ups</p></li><li><p>
Analytics experience in regulated industries (FinTech, RegTech, compliance)</p></li><li><p>
Background working with enterprise compliance or legal workflows</p></li><li><p>
Startup experience with rapidly changing analytics requirements</p></li></ul><p></p><p><b>
What Success Looks Like - 30 Days</b></p><ul><li><p>
Develop comprehensive understanding of our product and current data landscape</p></li><li><p>
Assist in setting up foundational data infrastructure and begin implementing core analytics tracking</p></li><li><p>
Document our data requirements and create a roadmap for analytics capabilities</p></li><li><p>
Establish relationships with key stakeholders across Product, Engineering, and Business teams</p></li></ul><p><b>
What Success Looks Like - 60 Days</b></p><ul><li><p>
Deploy production data pipelines and establish reliable data collection across the platform</p></li><li><p>
Launch initial set of product analytics dashboards for user behavior and AI model performance</p></li><li><p>
Begin analysis of compliance workflow patterns to identify optimization opportunities</p></li><li><p>
Create self-service analytics capabilities for the broader team</p></li></ul><p></p><p><b>
Compensation and Benefits</b></p><p><i>
$175,000 - $215,000 annually</i></p><p>
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.</p><p></p><p>
We embrace a hybrid model, typically in-office 3-4 days per week.</p><p>
To learn more about Norm Ai, visit our <b>website</b>.</p></div>

Senior Data Scientist

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Data Scientist, Advertising

Senior Data Scientist