Senior Data Scientist – Election & News Products

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.  

About You  

You are a strong candidate for this role if you have:  

• 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