data engineer

senior data engineer

data scientist

data analyst

senior data scientist

ai genai data scientist director

<p></p><div><div><div><div><div><div>Job ID</div>
<div>747553WD</div>
</div><div><div>Category</div>
<div>Data and Analytics Engineering</div>
</div><div><div>Time Type</div>
<div>Full time</div>
</div><div><div>Specialty/Competency</div>
<div>Data Science</div>
</div><div><div>Level</div>
<div>Director</div>
</div><div><div>Travel Requirements</div>
<div>Up to 80%</div>
</div><div><div>Locations</div>
<div>New York, Raleigh, Charlotte, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Richmond, Baltimore, Rosemont, Boston, Sacramento, St Louis, Salt Lake City, San Antonio, San Diego, San Francisco, Silicon Valley, Seattle, Spartanburg, Albany, Stamford, Tampa, Toledo, Atlanta, Tulsa, Austin, Washington D.C., Denver, Des Moines, Detroit, Buffalo, Florham Park, Fort Worth, Greensboro, Hartford, Houston, Indianapolis, Grand Rapids, Irvine, Jacksonville, Kansas City, Las Vegas, Little Rock, Los Angeles, Louisville, Birmingham, Fayetteville, Melville, Miami, Milwaukee, Minneapolis, Nashville, New Orleans, Oklahoma City, Philadelphia, Phoenix, Pittsburgh, Portland</div><br>
</div></div></div><div><div><br>
<div>The Opportunity
<br>
<br>
As an AI &amp; GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others by translating vision into action, shaping client engagements, and mentoring future leaders.
<br>
<br>
In this role, you will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to success. You will create a healthy working environment, maximizing client satisfaction and cultivating potential in others. By actively collaborating across the PwC Network, you will leverage collective strengths to identify market gaps and convert opportunities into success for the firm. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.
<br>
<br>
Responsibilities
<br>
<br>
<ul><li>Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights
</li><li>Overseeing the implementation of data infrastructure and integration to support scalable AI systems
</li><li>Driving business growth by identifying market opportunities and converting them into successful client engagements
</li><li>Mentoring and guiding teams in the application of advanced data analytics and AI techniques
</li><li>Promoting technological advancements and fostering an environment where people and technology thrive together
</li><li>Collaborating with executive-level clients to shape strategic directions and deliver impactful solutions
</li><li>Utilizing programming languages such as Python and C++ to develop and deploy AI models
</li><li>Managing complex data analysis and confirming data quality and integrity within analytics frameworks
</li><li>Encouraging creativity and innovation in problem-solving and solution development
</li><li>Building and maintaining relationships with stakeholders to enhance client satisfaction and project success
</li></ul><br>
What You Must Have
<br>
<br>
<ul><li>At least a Bachelor's degree
</li><li>At least 12 years of experience
</li></ul><br>
What Sets You Apart
<br>
<br>
<ul><li>Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
</li><li>At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
</li><li>Demonstrating proficiency in AI implementation and machine learning libraries
</li><li>Utilizing Python and C++ for complex data analysis and modeling
</li><li>Leading AI-driven automation projects with strategic mindset and innovation
</li><li>Promoting technological advances in data infrastructure and integration
</li><li>Cultivating potential in others through coaching and feedback</li></ul></div><br>
<br>
<p>The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance</p>
<p></p><p>As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.</p>
<p></p><p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.</p>
<p></p><p>Learn more about how we work: https://pwc.to/how-we-work</p>
<p></p><p>For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.</p>
<p></p><p>Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines</p></div></div></div></div><p></p>

AI & GenAI Data Scientist-Director

<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.</p><p>
Sia&rsquo;s <b>AI &amp; Data Business Unit</b> is the powerhouse of our firm&rsquo;s innovation&mdash;merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&amp;D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia&rsquo;s AI &amp; Data team, you&rsquo;ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting.</p><b><br>
Job Description</b><p><br>
To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Risk, Compliance and Regulatory topics and challenges.</p><p>
Reporting to Sia's Data Science teams, your role is to support our clients' operational teams and compliance departments in defining their data needs, analyzing their data, deploying data science algorithms, and AI agents and providing strategic decision support.</p><p>
These engagements require the implementation of complex analyses to support our clients, notably in:</p><ul><li>
Forward-Deployed Engineering</li><li>
Generative AI, Machine Learning &amp; Statistics</li><li>
Data Analysis for strategic support</li><li>
Data Engineering &amp; DevOps</li><li>
Data Transformation &amp; Acculturation</li></ul><p>
A few examples of engagements:</p><ul><li><p>
Predictive compliance risk monitoring: Building automated data pipelines and dashboards to track operational metrics and forecast the future health of compliance workstreams, enabling proactive risk identification and mitigation.</p></li><li><p>
AI-powered regulatory intelligence: Designing and deploying a GenAI-driven system that monitors regulatory change in real time, structures obligations, maps them automatically to internal policies and controls, scores compliance gaps, and orchestrates remediation workflows - all with a full source-of-truth audit trail for compliance, risk, and legal teams.</p></li><li><p>
Analytics/ML models for AML compliance: Built and refined ML models to automate due diligence and ID verification workflows, reducing manual review time. Managed third-party data integration and collaborated with Legal and Engineering to ensure compliant deployment.</p></li></ul><p>
As part of the firm's internal activities, your contribution will focus on the following areas:</p><ul><li>
Developing or strengthening our offerings through training, working groups, and internal/external materials.</li><li>
Our publication strategy (sector blogs, studies, press coverage). \</li><li>
Business development, by contributing to the definition of client needs and participating in sales activities.</li></ul><p><b>
Key Responsibilities:</b></p><ul><li>
Partner with our clients' leadership teams, engineers, program managers, and data analysts to understand data needs.</li><li>
Identify, acquire, process, and explore relevant data sources.</li><li>
Analyze large amounts of structured and unstructured information to discover trends and patterns.</li><li>
Use your data analytics and data science expertise to derive valuable insights from datasets, and build predictive models and machine learning algorithms.</li><li>
Design, build, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral.</li><li>
Develop GenAI-powered applications (self-managed and API-based) that meet real business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses).</li><li>
Design and optimize prompting strategies (few-shot, Chain/Tree-of-Thought, ReAct, self-reflection, guardrails) to improve reliability and control.</li><li>
Communicate at scale through multiple mediums: presentations, dashboards, datasets, bots, and more.</li><li>
Propose solutions and strategies to business challenges.</li><li>
Collaborate with engineering and product development teams.</li><li>
Work across a broad range of partners and projects, delivering models, algorithms, datasets, measurements, services, tools, and processes.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.</li><li>
2+ years of experience as a Data Scientist or Data Analyst.</li><li>
Strong programming skills, particularly Python and SQL.</li><li>
Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.).</li><li>
Experience with cloud platforms (AWS, Azure, or GCP).</li><li>
Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, etc.).</li><li>
Excellent communication skills, with the ability to explain complex technical concepts simply.</li></ul><p><b>
Preferred technical experience:</b></p><ul><li>
Experience building agentic AI systems.</li><li>
Good understanding of machine learning techniques.</li><li>
Good understanding of statistical techniques and concepts.</li><li>
Experience with data visualization tools.</li><li>
Experience developing conversational AI systems / chatbots.</li><li>
Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as the Model Context Protocol (MCP).</li><li>
Experience deploying models at scale in production environments.</li></ul><p><b>
Preferred industry sector experiences</b></p><ul><li>
Regulatory Obligations Management: Analyze and document legal/regulatory requirements to maintain and update the client's RCM obligations library</li><li>
Control Design &amp; Implementation: Design and implement operational controls and compliance frameworks to ensure regulatory adherence</li><li>
Risk Assessment &amp; Testing: Lead RCSAs, thematic reviews, and control testing to identify compliance and operational gaps</li><li>
Regulatory Analysis &amp; Strategy: Interpret emerging regulatory trends and enforcement actions to inform compliance strategy</li><li>
Compliance Best Practices: Develop and maintain compliance best practices</li><li>
Regulatory Interpretation &amp; Controls Mapping: Interpret laws and regulations to assess applicability and map obligations to controls</li><li>
Risk &amp; Compliance Transformation: Support transformation engagements across first-line (controls design/testing) and second-line (risk, compliance) functions</li></ul><br>
<b>
Additional Information</b><p><b><br>
Compensation &amp; Benefits</b></p><p>
Sia invests in total rewards that support how our people work, live, and grow.</p><p><b>
Compensation</b></p><ul><li>
Base Salary: $95,000-116,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law.</li><li>
Annual Performance Bonus</li></ul><p><b>
Benefits</b></p><ul><li>
Medical, dental, and vision; company-paid life and AD&amp;D; voluntary supplemental insurance and EAP</li><li>
401(k) with company match and immediate vesting; HSA and FSA options</li><li>
College savings and student loan repayment programs</li><li>
Paid parental leave; generous PTO, nine company holidays, and one floating holiday</li><li>
Cell phone stipend; well-being and professional development programs</li></ul><p>
Benefits are subject to applicable plan terms and eligibility requirements.</p><p><b>
Workplace</b><br>
Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C.</p><p><b>
Work Authorization</b></p><p>
Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future.</p><p>
Our Commitment</p><p>
At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging.</p><div></div><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

Consultant – Compliance Data Science & AI

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<div><h2 class="jobSectionHeader"><b>Data Science and Artificial Intelligence Group Manager (Senior Vice President)</b></h2>
<p></p><h2 class="jobSectionHeader"><b>About the Role</b></h2>
<p>We are looking for a seasoned, technically deep, and strategically minded leader to drive one of the most impactful analytics functions within our US Consumer Cards business. This role sits at the intersection of advanced data science, model governance, financial intelligence, and Generative AI &mdash; with end-to-end accountability across high-visibility initiatives that shape business strategy, regulatory standing, and customer outcomes at scale.</p>
<p>You will lead a high-performing, multi-geography team, influence senior stakeholders across Marketing, Finance, Risk, Legal, and Technology, and deliver outcomes spanning revenue growth, expense savings, compliance transformation, and enterprise AI innovation.</p>
<h2 class="jobSectionHeader"><b>What You'll Own</b></h2>
<p><b>1. Existing Customer Analytics &amp; Campaign Modeling</b> Lead end-to-end modeling for existing customer strategies powering large-scale direct mail and digital campaigns &mdash; core growth levers embedded in the operating plan that translate analytical rigor into measurable business performance.</p>
<p><b>2. Model Risk &amp; Regulatory Compliance</b> Own a firm-wide model risk remediation program covering a large portfolio of models. A board- and regulator-facing priority requiring continuous senior ownership, credit bureau attribute remediation, and full regulatory compliance.</p>
<p><b>3. Financial Forecasting &amp; Reserve Modeling</b> Develop next-generation financial models feeding directly into multi-year strategic plans and mid-year forecasts. Your work will reduce reserve volatility, sharpen financial controls accuracy, and inform CFO-level planning decisions.</p>
<p><b>4. Generative AI Innovation</b> Lead the development of a GenAI-powered customer communication model, positioning the team at the forefront of the firm's enterprise AI transformation agenda.</p>
<p></p><h2 class="jobSectionHeader"><b>Responsibilities</b></h2>
<p><b>Analytics &amp; Model Leadership</b></p>
<ul><li>Lead and direct distributed teams of data scientists and analytics professionals across geographies &mdash; covering performance management, hiring, development, and budget oversight</li>
<li>Own the design, development, and governance of predictive models and ML solutions that inform business strategy and financial planning</li>
<li>Drive model risk remediation, including resolution of regulatory findings, credit bureau attribute gaps, and model redevelopment in compliance with Model Risk Policy</li>
<li>Develop advanced financial forecasting models with vintage-level granularity to support accurate multi-year product-level planning</li>
<li>Build and enhance reserve models that improve financial controls accuracy and reduce volatility</li>
<li>Leverage large, complex internal and external datasets using advanced statistical techniques, ML algorithms, and visualization tools to drive strategic decisions</li>
<li>Serve as Model Sponsor Delegate &mdash; accountable for formal model governance, sign-off, and oversight across a large model portfolio</li>
</ul><p></p><p><b>AI Innovation &amp; Solution Development</b></p>
<ul><li>Drive AI-led analytics solutions for key business problems &mdash; including Personalized Next Best Action decisioning engines, Campaign Analytics Platforms, and Conversational &amp; Contextual Business Insights. Own the full AI solution lifecycle from concept to production</li>
<li>Partner with stakeholders across business and technology functions to architect, prototype, and deploy scalable AI solutions that deliver measurable business impact</li>
<li>Collaborate directly with business and technology teams to jointly develop high-impact AI solutions, combining technical expertise with business acumen to address complex, cross-functional challenges</li>
<li>Conceptualize AI-powered automation and tools that accelerate internal analytics workflows and drive productivity &mdash; creating innovative solutions that streamline processes and enhance analytical capabilities across the organization</li>
<li>Lead the evolution of AI-enhanced modeling techniques to accelerate development cycles and improve analytical precision</li>
</ul><p></p><p><b>AI Governance &amp; Controls</b></p>
<ul><li>Operationalize AI governance standards ensuring model explainability, responsible deployment, regulatory compliance, and full adherence to Model Risk Management guidelines</li>
<li>Ensure teams partner with and follow control processes across Information Security, Platform Security, and Data Security while executing on next-generation re-engineering of business, data, and AI processes</li>
<li>Engage and influence multiple Managing Director&ndash;level stakeholders across Marketing, Finance, Technology, Model Risk Management, Fair Lending, and Legal</li>
<li>Ensure all analytical work adheres to applicable laws, regulations, fair lending obligations, and internal policy; proactively escalate and manage risk with full transparency</li>
</ul><p></p><p><b>Strategy, Partnerships &amp; Team Building</b></p>
<ul><li>Work in partnership with business stakeholders and Analytics teams to identify, prioritize, and deliver high-impact AI solutions &mdash; building trusted partnerships that enable rapid alignment, efficient resource deployment, and direct impact on critical business needs</li>
<li>Establish and lead a specialized team equipped to deliver enterprise-grade AI solutions; recruit top talent, foster a culture of innovation and experimentation, and drive non-linear outcomes</li>
<li>Deliver value beyond arbitrage by establishing productivity and innovation measurement frameworks that track outcomes across business deliverables and team performance &mdash; aligned with senior leadership priorities</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
<p><b>Experience &amp; Expertise</b></p>
<ul><li>10+ years in data science, quantitative analytics, or financial modeling within financial services</li>
<li>Expertise in credit card rewards economics, customer behavior modeling, or a related domain at the intersection of financial modeling and product strategy</li>
<li>Proven track record in model risk management, regulatory remediation, or formal model governance</li>
<li>Deep experience in financial forecasting, reserve modeling, or FP&amp;A-aligned analytics</li>
<li>Experience with Generative AI and Large Language Models (LLMs) in applied business contexts</li>
<li>Strong background in credit risk, marketing analytics, or existing customer management</li>
<li>Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution</li>
</ul><p></p><p><b>Technical Skills</b></p>
<ul><li>Advanced AI/ML proficiency &mdash; Generative AI, supervised/unsupervised learning, optimization, and time-series forecasting</li>
<li>Expertise in data engineering and big data platforms</li>
<li>Proficiency in Python, SQL, and data visualization tools</li>
<li>Familiarity with SDLC, version control (Bitbucket/GitHub), and JIRA</li>
<li>Knowledge of Deep Learning, Machine Learning, regression, decision trees, A/B testing, and business statistics</li>
<li>Knowledge of big data, distributed computing, Python, Spark, SQL, Excel, and MLOps</li>
<li>Knowledge of Generative AI, Retrieval-Augmented Generation (RAGs), Agentic AI, and Large Language Models (LLMs)</li>
<li>Knowledge of Model Risk Management frameworks, model accuracy metrics, ECOA, banking regulations, and Fair Lending rules; working knowledge of SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, and ECOA in the context of AI/ML model deployment within a regulated financial institution</li>
</ul><p></p><p><b>Leadership &amp; Communication</b></p>
<ul><li>Proven ability to lead and inspire distributed, cross-functional teams</li>
<li>Exceptional stakeholder management &mdash; able to engage, influence, and negotiate at the Managing Director level</li>
<li>Strong project management across complex, multi-workstream programs with regulatory and executive timelines</li>
<li>Ability to translate technical complexity into clear, compelling narratives for senior business audiences</li>
<li>Analytically creative problem-solver who thrives in ambiguous, high-stakes environments</li>
<li>Strong storyboarding, PowerPoint, and executive deck creation skills &mdash; able to distill complex analytical insights into crisp, board-ready presentations</li>
</ul><h2 class="jobSectionHeader"><b>Education</b></h2>
<ul><li>Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or Economics) required</li>
<li>Master's degree or Ph.D. strongly preferred</li>
</ul><p></p><p><i>This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</i></p>
</div><p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Decision Management
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Specialized Analytics (Data Science/Computational Statistics)
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location:</b></h2>
New York New York United States
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location Full Time Salary Range:</b></h2>
$192,000.00 - $288,000.00<br>
<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>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Please see the requirements listed above.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<h2 class="jobSectionHeader"><b>Anticipated Posting Close Date:</b></h2>
Aug 05, 2026
<p>-</p>
<h2 class="jobSectionHeader"><b>Automated Processing and AI</b></h2><br>
<br>
<p>We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.</p>
<p></p><p>Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.</p>
<p></p><p>Illinois residents &ndash; AI Notice and Right</p>
<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></div><p></p>

Senior Vice President - Data Science and Artificial Intelligence Group Manager - Hybrid

Stott and May

<div>
 <p>
  Senior Data Scientist
 </p>
 <p>
  <strong>
   Manufacturing | Azure, Databricks &amp; Microsoft Fabric
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our manufacturing client is looking for a
  <strong>
   Senior Data Scientist
  </strong>
  to help build data-driven solutions that improve operations and support business decision-making. You'll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities
 </p>
 <ul>
  <li>
   Develop machine learning models and analytical solutions to solve business problems.
  </li>
  <li>
   Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
  </li>
  <li>
   Build predictive models for forecasting, optimization, and operational reporting.
  </li>
  <li>
   Work with business stakeholders to understand requirements and translate them into data science solutions.
  </li>
  <li>
   Collaborate with Data Engineers to prepare and transform data for modeling.
  </li>
  <li>
   Present findings and recommendations to technical and non-technical audiences.
  </li>
  <li>
   Support the deployment and ongoing improvement of machine learning models.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Required Skills
 </p>
 <ul>
  <li>
   5+ years of experience as a Data Scientist.
  </li>
  <li>
   Strong Python and SQL skills.
  </li>
  <li>
   Experience building and deploying machine learning models.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Azure Databricks
   </strong>
   .
  </li>
  <li>
   Experience with
   <strong>
    Microsoft Fabric
   </strong>
   or other Microsoft analytics tools.
  </li>
  <li>
   Experience working with Azure cloud services.
  </li>
  <li>
   Strong understanding of statistics, predictive modeling, and data analysis.
  </li>
  <li>
   Excellent communication and stakeholder management skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Fully Remote
  </strong>
 </p>
 <p>
  <strong>
   12-month contract with possible extension
  </strong>
 </p>
 <p>
  <strong>
   40hr/week
  </strong>
 </p>
 <p>
  <strong>
   95-125/hourly W2 or LLC
  </strong>
 </p>
 <p>
  (There are
  <strong>
   no
  </strong>
  C2C options for this role)
 </p>
 <p>
  <br/>
 </p>
</div>


Senior Data Scientist

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience programming in Python or C++.</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>3 years of experience testing, maintaining, or launching software products.</li>
<li>1 year of experience with software design and architecture.</li>
<li>1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.<br>
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>1 year of experience in a technical leadership role.<br>
</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write and test product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, AI/ML GenAI, Google Cloud

Rensselaer Polytechnic Institute

<p></p><div><p>Who we are</p>
<p><b>Why Rensselaer?</b> Join Rensselaer Polytechnic Institute's dynamic global community of changemaker including some of the world&rsquo;s leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity.</p>
<p>Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, one of the world&rsquo;s fastest supercomputers, and IBM's Quantum System One - the first university-based quantum computer in the world.</p>
<div><p>Over the past decade, the research portfolio at Rensselaer has been completely transformed. As a top-tier technological research university, Rensselaer has invested in strategic partnerships, talented researchers, and sophisticated research platforms to address the most pressing global challenges of the 21st century.</p>
<p>Today, the Rensselaer research enterprise comprises $104 million in annual research expenditures, supports a diverse range of research centers and platforms, and ensures the advancement of interdisciplinary research in six key areas:</p>
<ul><li>Life Science &amp; Biotechnology (Bioscience, Bio Manufacturing, Diagnosis)</li>
<li>Future Computing (Data / AI, High Performance Computing, Quantum, Bits/Neurons/Qubits)</li>
<li>Energy, Environment, and Sustainability (Energy Solutions, Built Environment, Freshwater, Sustainability)</li>
<li>Materials &amp; Manufacturing (Mat. Discovery, Mat. Processing, Advanced Manufacturing, Robotics)</li>
<li>Microelectronics (Mat. &amp; Metrology, Hardware Co-design, Computational Microelectronics, Hetero-integration)</li>
<li>Fundamental Knowledge (AstroX, Origins, Cognitive &amp; Social, Financial)</li>
</ul><p>The cross-disciplinary research leverages a convergence of expertise in materials, advanced manufacturing, and control systems, emphasizing synergistic integration of these fields to derive system-level solutions to complex technological challenges. The faculty's research interests encompass a broad spectrum of areas, including but not limited to energy materials, nanomaterials, nanocomposites, nanoscale heat transfer, thermoelectrics, nanomechanics, fiber-reinforced composites, additive manufacturing, nonlinear control systems, micromachining, spaceflight dynamics and control, tribology, nonlinear dynamics, nuclear materials, biomaterials, smart and adaptive materials, as well as computational approaches in nanomechanics and biomechanics.</p>
</div><div><div><div><p>The Office for Research collaborates with important external partners in the federal and state government, foundations and in industry to expand the impact our work and to support our world-class researchers as they improve lives, advance society, and change the world.</p>
</div></div></div><div><p>The mission of the Office for Research is to drive and support the Research Enterprise, increase Rensselaer impact and visibility, and communicate to the national and international community that Rensselaer researchers are defining the frontiers of discovery and innovation.</p>
</div><p>Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, # astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit www.rpi.edu.</p>
<p><b>Are you ready to change the world? Apply now!</b></p>
<p>Job Summary</p>
<p>Some of the areas that may be hiring researchers and research support positions in the area of Materials &amp; Manufacturing include:</p>
<ul><li>Materials Discovery</li>
<li>Materials Processing</li>
<li>Advanced Manufacturing</li>
<li>Robotics</li>
</ul><p>Note: The availability of positions is dependent on the availability of sponsored funding. Not all areas will have all positions, and some areas may be fully staffed.</p>
<p>Qualifications</p>
<ul><li>Postdoctoral Research Associate -
<ul><li>Candidates must have finished all requirements for their PhD or foreign equivalent at the beginning of their appointment</li>
</ul></li><li>Research Associate or (Sr.) Research Scientist -
<ul><li>Opportunities exist for those with a relevant advanced degree, publication record, and/or significant additional years of paid professional experience in a related position. Individuals who possess these qualifications and who have the potential to, or a demonstrated track record of being able to build collaborative external partnerships are especially desirable</li>
</ul></li><li>(Sr.) Research Specialist -
<ul><li>Positions require a relevant bachelor's degree / foreign equivalent or higher</li>
</ul></li><li>(Sr.) Research Engineer -</li>
<li>Research Assistant -
<ul><li>candidates must possess an associate's degree / foreign equivalent or relevant combination of experience, education and training</li>
</ul></li></ul><p>Pay transparency data:</p>
<p><b>Pay transparency disclosure:</b> The actual salary/wage that is provided to selected candidates will be determined based on factors that include the available budget, internal equity, and the needs of the department, and the final candidate&rsquo;s qualifications, experience, education, and other job-related credentials. The following hiring ranges are provided as Rensselaer&rsquo;s good faith estimate of the expected hiring range at the time of posting.</p>
<p>Postdoctoral Research Associate: $62,354 - $65,000 / yr
<br>
Research Associate: $64,000 - $66,000 / yr
<br>
Research Scientist: $66,000 - $95,000 / yr
<br>
Sr. Research Scientist: $80,000 - $138,000 / yr
<br>
***</p>
<p>Research Specialist $18.00 - $26.44 / hr
<br>
Sr. Research Specialist $62,354 - 66,000 / yr
<br>
***</p>
<p>Research Engineer: $66,000 - $86,000 / yr
<br>
Sr. Research Engineer: $87,000 &ndash; $95,000 / yr
<br>
***</p>
<p>Research Assistant: $16.00 - $22.00 / hr</p>
<p>Application instructions</p><p><br>
</p><p>Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter</p>
<p>If you need assistance with the online application process, please contact careers@rpi.edu</p>
Job Posted Date
<p>Applications will be accepted until the position is filled.</p>
<p>Total Compensation and Benefits Information</p>
Rensselaer&rsquo;s Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Rensselaer is recognized locally and nationally for the depth and breadth of its compensation and benefits program. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu).<div><br>
</div><div><p><i>Rensselaer Polytechnic Institute is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer Polytechnic Institute's work and campus communities. Rensselaer Polytechnic Institute </i><i>is an Equal Opportunity Employer.</i></p>
<p><i>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.</i></p></div><br>
<p></p><p>#LI-DNI</p></div><p></p>

Materials & Manufacturing Researchers

New York State Psychiatry Institute

<div><p><b>Job Title: Assistant Research Scientist</b></p><p><b>
Grade:</b> 15</p><p><b>
Salary:</b> $57,900-$69,341</p><p>
The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Assistant Research Scientist position</p><p>
in our neuroscience laboratory, in which rodent preparations are used to model mechanisms and treatment targets in mental illness.</p><p>
Circuit mechanisms of normal brain functions and how experiences change them are a focus.</p><p><b>
Duties and Responsibilities:</b></p><p>
The work focuses on neurobehavioral systems, using molecular genetic manipulations to probe neural cellular and circuit function and, ultimately, behavior depending on demands of a given experiment, research responsibilities will include varying combinations of the following:</p><ul><li>
Handling of research rodents, stereotaxic surgery and monitoring during recovery, behavioral testing, in vivo fiber
</li><li>photometry and electrophysiology, anatomic circuit tracing, neurohistology, microscopy, and data analysis.</li><li>
Experience with procedures and analysis of data utilizing genetically encoded biosensors and in vivo physiology is critical.</li><li>
Experience with vivo viral-mediated gene transfer and opto and chemo genetics is preferred. Familiarity with programming in</li><li>
Matlab and Python are important.</li></ul><p><br>
The candidate should be able to work on a flexible schedule, including some weekends and evenings.</p><p><b>
Minimum Qualifications:</b></p><ul><li>
Bachelor's degree and (1) year of professional research experience in an appropriate field, or 30 graduate credit hours leading to an advanced degree in an appropriate field may be substituted for the required experience</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Applicants will be expected to also have excellent organizational skills, keep detailed records, and aid others in the laboratory with data.</li></ul><p><b><br>
Work Location:</b> 1051 Riverside Drive, New York, NY 10032</p><p><b>
To Apply:</b> Submit an application through our website at https://rfmh.applicantpro.com/jobs/. Please note only applications submitted through our website will be considered.</p><p>
The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer.</p><p>
The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.</p></div><p></p>

Assistant Research Scientist

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