data engineer

senior data engineer

data scientist

data analyst

senior data analyst

senior data scientist

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

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
</div><div><p>New York , NY</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role</b></h2>
</div><div><div>Principal Architects are expected to develop highly available, fault tolerant architectures following industry standards and best practices. They are expected to lead other architects and develop standards and best practices across the architecture landscape. This includes internal business applications, new technology initiatives, and consumer-facing systems. The successful candidate will work closely with clients (users) to complete the analysis and design of systems and follow the implementation to completion.
 <br>
<br>
<b>**RESPONSIBILITIES**</b>
<br>
<br>
<ul><li>Applies extensive knowledge of theories, practices and design matters.
</li></ul><br>
<ul><li>Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions.
</li></ul><br>
<ul><li>Exercise a wide latitude in determining objectives and approaches to critical assignments.
</li></ul><br>
<ul><li>Knowledge with broadcast production or video content management systems
</li></ul><br>
<ul><li>Knowledge of media management strategies and distribution workflows
</li></ul><br>
<ul><li>Lead and contributes to development of company objectives across and principles to achieve goals
</li></ul><br>
<ul><li>Deep understanding of AWS/Azure services and products
</li></ul><br>
<ul><li>Provide feasibility reviews for potential new projects, including development effort estimates
</li></ul><br>
<ul><li>Strong understanding of the C4 model and traditional design artifacts
</li></ul><br>
<ul><li>Work with Engineering and Quality Assurance to identify and address reported issues quickly and effectively
</li></ul><br>
<ul><li>Build and maintain scalable backend microservices using Python and FastAPI, deployed as varying serverless infrastructure.
</li></ul><br>
<ul><li>Develop tools, constraints (guardrails), and deterministic functions that our AI agents use to edit visual assets. Integrate models on owned infrastructure for inference and integrate third-party AI endpoints.
</li></ul><br>
<ul><li>Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g. EventBridge, queues, DynamoDB streams).
</li></ul><br>
<ul><li>Terraform contributions to provision and mange cloud resources safely and effectively across multiple environments.
</li></ul><br>
<ul><li>Contribute to our modern backend orchestration or modern web frontends.
</li></ul><br>
<ul><li>Write robust unit and end-to-end tests to ensure the stability of both standard APIs and AI agent outputs, ensuring smooth deployments.<br>
</li></ul><br>
<br>
<br>
</div></div></div><div><div><h2 class="jobSectionHeader"><b>Required Skills and Expereince</b></h2><br>
</div><div><div><br>
<br>
<ul><li>7+ years of professional software engineering experience with a strong grasp of the Software Development Life Cycle and version control.
</li></ul><br>
<ul><li>Strong proficiency in modern Python. Hands-on experience deploying and operating services in AWS, Azure, and/or GCP.
</li></ul><br>
<ul><li>Practical experience integrating LLMs into software applications. You must understand how to interact with inferencing endpoints, manage context windows, and parse AI-generated content.
</li></ul><br>
<ul><li>Applied experience with Terraform or similar IAC tools to manage cloud resources.
</li></ul><br>
<ul><li>A strong commitment to writing clean, maintainable, and well-tested code. Experience working in an agile environment with rigorous code-review standards.
</li></ul><br>
<ul><li>Expert experience, understanding and knowledge of digital and broadcast production operations and workflows
</li></ul><br>
<ul><li>Strong knowledge of AI industry trends and best practices
</li></ul><br>
<ul><li>Strong experience with the C4 model and other traditional design artifacts
</li></ul><br>
<ul><li>Experience working in an Agile environment<br>
</li></ul><br>
<br>
<ul><li>Familiarity with continuous integration practices
</li></ul><br>
<ul><li>BS in CS, EE or equivalent experience required'
</li></ul></div></div></div></div><p>The base compensation range for this role in the posted location is: $120,000- $180,000</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

Data Scientist, Analytics (Ranking, AI)

<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

Elliptic

<div><p><b>Do you want to help define the future of finance?</b></p><p>
Are you a strong software engineer who's passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values-driven company that invests in its people and gives you the autonomy to shape critical systems, while staying close to the code?</p><p>
We're looking for a Senior Software Engineer to join Elliptic's Product-Engineering organisation, focusing on data engineering solutions that power our blockchain analytics and intelligence products. This is a hands-on engineering role: as a senior member of the team, you will spend the majority of your time designing, building, and shipping the data platform yourself, while driving the technical direction that ensures it continues to meet the growing demands of blockchain analysis.</p><p>
Challenges include building a blockchain-agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem.</p><h2 class="jobSectionHeader"><b><br>
The impact you will have</b></h2><p>
Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will personally design and build data systems that serve as the backbone of all Elliptic products. By collaborating across blockchain, intelligence and product teams, you will deliver innovative features that help the world fight financial crime and increase transparency in the crypto space. Very few engineering roles have such clearly measurable real-world impact.</p><p>
You will also help us excel in engineering excellence by mentoring and upskilling our highly-engaged and passionate engineers, by championing best practices, and holding yourself and your team to a high standard.</p><h2 class="jobSectionHeader"><b><br>
What you will do</b></h2><ul><li><p>
Write, ship, and maintain production code as a hands-on engineer.</p></li><li><p>
Architect, design, and implement large-scale distributed data systems and pipelines.</p></li><li><p>
Contribute to technical decision-making across batch and streaming data solutions.</p></li><li><p>
Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer-focused products.</p></li><li><p>
Explore and integrate new technologies (e.g. data orchestration or cloud-native tools) to optimise performance and scalability.</p></li><li><p>
Take shared ownership of data systems, from design to deployment and ongoing improvement and support.</p></li><li><p>
Perform thoughtful peer reviews that raise code quality and share best practices across the team.</p></li><li><p>
Contribute to platform-wide initiatives that improve reliability, observability, and cost efficiency.</p></li><li><p>
Help shape the technical roadmap for data engineering across Elliptic.</p></li><li><p>
Leverage and deploy AI and agentic systems to operate more effectively.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Tech environment</b></h2><p><b>
Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming</b></p><h2 class="jobSectionHeader"><b>
You will thrive here if you</b></h2><ul><li><p>
Enjoy end-to-end ownership, from writing the code to architecture design to coaching others through delivery.</p></li><li><p>
Strive for engineering excellence and scalable, sustainable systems.</p></li><li><p>
Use data and experimentation to guide decisions.</p></li><li><p>
Communicate openly and collaborate across teams.</p></li><li><p>
Support and coach less-experienced engineers.</p></li><li><p>
Believe every challenge is an opportunity to simplify and innovate together.</p></li><li><p>
Enjoy working with AI to benefit the company, your team and yourself.</p></li></ul><h2 class="jobSectionHeader"><b><br>
What we are looking for</b></h2><ul><li><p><b>
Hands-on production experience with Scala and functional programming.</b></p></li><li><p>
Ability to design, build, and maintain distributed data systems in a cloud-based environment.</p></li><li><p>
Hands-on experience with big data frameworks such as Spark or Databricks.</p></li><li><p>
Knowledge of cloud infrastructure (AWS, GCP, or Azure).</p></li><li><p>
Judgement to balance scalability, performance, and maintainability.</p></li><li><p>
Experience with data modelling and workflow orchestration.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Bonus points for</b></h2><ul><li><p>
Experience in stream processing frameworks and event-driven architecture.</p></li><li><p>
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).</p></li><li><p>
Experience working in containerised environments (Docker, Kubernetes).</p></li><li><p>
Interest in AI-driven tooling for engineering workflows.</p></li><li><p>
Interest in crypto and blockchain technologies.</p></li></ul><p></p><p><b>
How we work:</b></p><ul><li><p><b>
Hybrid working:</b> The option to work from almost anywhere for up to 90 days per year.</p></li><li><p><b>
Remote Work Budget:</b> $650 budget to set up your home office space.</p></li></ul><p><b>
Learning &amp; Development:</b></p><ul><li><p><b>
L&amp;D Budget:</b> $1,000 annual Learning &amp; Development budget to use on anything (agreed with your manager) that contributes to your growth and development.</p></li></ul><p><b>
Vacation / Leave:</b></p><ul><li><p><b>
Holidays:</b> 25 days of annual leave + US Public Holidays.</p></li><li><p><b>
Birthday Leave:</b> An extra day off for your birthday.</p></li><li><p><b>
Enhanced Parental Leave:</b> We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.</p></li></ul><p><b>
Benefits:</b></p><ul><li><p><b>
Healthcare:</b> Comprehensive medical, dental, and vision coverage through a range of providers (including Tufts, Kaiser, Aetna, UHC, and Blue Shield of CA) with generous premium contributions for you and your dependents.</p></li><li><p><b>
401k:</b> Company match included.</p></li><li><p><b>
Mental Health:</b> Full access to <b>Spill</b> mental health support.</p></li></ul><p><br>
<br>
We know Diversity and Inclusion is much deeper than just hiring, but it&rsquo;s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don&rsquo;t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.<br>
<br>
No recruitment agencies please!</p><p>
Compensation Range: $165K - $305K</p></div>

Senior Software Engineer - Data

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

Vistar Media

<div><p>Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight.</p><p>
From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestl&eacute;, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar.</p><p></p><p><i>
As of January 2025, Vistar Media was acquired by T-Mobile and is now part of T-Mobile Advertising Solutions. By combining our DOOH expertise with T-Mobile&rsquo;s unique customer insights and expansive omnichannel capabilities, we&rsquo;re creating new opportunities to innovate at scale and make a meaningful impact on the future of out-of-home media.</i></p><p>
At T-Mobile Advertising Solutions (T-Ads), we're building privacy-first advertising and data products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.
<br>
<br>
We are adding a creative and motivated Senior Data Engineer to join our team, where you&rsquo;ll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You'll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together.<br>
<br>
We adhere to structured design principles inspired by Lean Development, and we encourage continuous learning and growth. As part of our team, you'll enjoy mentoring, brainstorming, and pairing up to tackle ambitious challenges. Our supportive culture fosters a collaborative atmosphere where everyone can thrive.</p><p></p><ul><li><p><b>
Job Responsibilities</b>:</p><ul><li><p>
Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.</p></li><li><p>
Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.</p></li><li><p>
Write robust, efficient, and highly maintainable code in Python, Spark and Scala.</p></li><li><p>
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.</p></li><li><p>
Assist technical, product, and operational leaders in project definition, including estimating, planning, and scoping work to meet objectives.</p></li><li><p>
Also responsible for other duties/projects as assigned by business management as needed</p></li></ul><p><b><br>
Education and Work Experience</b>:</p><ul><li><p>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</p></li><li><p>
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)</p></li><li><p>
4-7 years Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)</p></li><li><p>
4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)</p></li><li><p>
4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)</p></li></ul><p><b><br>
Knowledge, Skills and Abilities</b>:</p><ul><li><p>
Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)</p></li><li><p>
Experience with production-level engineering around GIS and geospatial data processing. (Preferred)</p></li><li><p>
Familiarity with DevOps practices and tools for DataOps.</p></li><li><p>
Ability to work quickly and precisely, capturing requirements and designing before implementation.</p></li><li><p>
Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases.</p></li></ul></li></ul><p></p><p>
Base Pay Range: $105,100 - $189,600</p><div></div><p><br>
Corporate Bonus Target: 15%</p><p>
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.</p><div></div><p><br>
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ353917&para;dox=1</p><p>
If you&rsquo;re ambitious, highly driven, and interested in making an impact, Vistar is the place for you. Apply to join our team&hellip; we&rsquo;ll see you out there.</p></div>

Senior Data Engineer, Big Data and Cloud

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