Senior Data Scientist – Editorial & News Products

Thomson Reuters•Washington, DC

5d•Hybrid

About The Position

Senior Data Scientist, Election and Editorial Products At Thomson Reuters, our mission is to deliver trusted news and insights at global scale. Data and AI are increasingly central to how we support journalists, editors, and product teams in making faster, better informed editorial decisions. We are seeking a Senior Data Scientist with a strong blend of technical expertise, editorial curiosity, and product mindset to work on Reuters' U.S. Elections product. Heading into the 2026 midterms, you will focus on building Reuters' expected vote model and on the quality control of election results data flowing in from across the United States. Looking ahead to the 2028 presidential cycle, you will help us build out a broader suite of elections data products that power newsroom decisions and inform our readers. In this role, you will partner closely with the Director of U.S. Elections, the newsroom, and engineering on work that is high-visibility and deadline-driven. About the Role As a Senior Data Scientist, U.S. Elections, you will: Partner with editorial leaders, newsroom stakeholders, and product managers to translate editorial goals into data science problems and measurable outcomes. Develop and refine Reuters' expected vote model, and design the data quality controls that catch anomalies in incoming results from counties and states across the U.S. Help shape the roadmap for Reuters' elections data products heading into the 2028 presidential cycle, partnering with editorial, engineering, and product to expand our offerings. Design, build, and deploy machine learning and statistical models that support editorial news products. Design and maintain data pipelines and feature stores in collaboration with engineering teams. Clearly communicate insights, trade-offs, and recommendations to both technical and nontechnical audiences, including newsroom stakeholders. Mentor and coach junior data scientists and analysts, setting best practices for analytical rigor and responsible AI. Stay current with advances in AI for media and news products, and help drive their responsible adoption across the organization.

Requirements

6–10 years of experience in data science, machine learning, or applied AI, with a strong track record of production delivery.
Prior experience working with U.S. elections data — ideally on a previous election cycle — and a working familiarity with concepts such as expected vote, swing states, opinion polling, voting patterns, and vote types (absentee, early, mail-in) at the county and state level.
A degree in a quantitative field such as Computer Science, Statistics, Data Science, or Engineering (or equivalent experience).
Strong proficiency in Python, SQL, and modern data platforms (e.g., Snowflake).
Hands-on experience building generative AI solutions using large language models (e.g., GPTstyle or opensource models), including prompt engineering, RAG, and agent-based approaches.
Familiarity with AWS-based ML tooling (e.g., SageMaker) and scalable model deployment patterns.
Experience building or collaborating on data pipelines using tools such as AWS Glue or similar orchestration frameworks.
A product-oriented mindset, with the ability to balance editorial quality, user value, and technical feasibility.
Excellent communication skills and the ability to work effectively with journalists, editors, product managers, and engineers.
A genuine interest in journalism, news products, and the responsible use of AI in editorial contexts.

Responsibilities

Partner with editorial leaders, newsroom stakeholders, and product managers to translate editorial goals into data science problems and measurable outcomes.
Develop and refine Reuters' expected vote model, and design the data quality controls that catch anomalies in incoming results from counties and states across the U.S.
Help shape the roadmap for Reuters' elections data products heading into the 2028 presidential cycle, partnering with editorial, engineering, and product to expand our offerings.
Design, build, and deploy machine learning and statistical models that support editorial news products.
Design and maintain data pipelines and feature stores in collaboration with engineering teams.
Clearly communicate insights, trade-offs, and recommendations to both technical and nontechnical audiences, including newsroom stakeholders.
Mentor and coach junior data scientists and analysts, setting best practices for analytical rigor and responsible AI.
Stay current with advances in AI for media and news products, and help drive their responsible adoption across the organization.

Benefits

Flexible hybrid working environment (2-3 days a week in the office depending on the role)
Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities
Work from anywhere for up to 8 weeks per year
Career Development and Growth opportunities
Grow My Way programming
Skills-first approach
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Market competitive health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays (including two company mental health days off)
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance paid 100% by the employee
Optional life and AD&D insurance paid 100% by the employee
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit paid 100% by employee
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Tuition Reimbursement
Access to Employee Stock Purchase Plan