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Senior Data Scientist – Editorial & News Products

USA036 Reuters News & Media Inc

Washington · Hybrid Full-time Senior $158k – $293k/yr 1mo ago

About the role

Senior Data Scientist – Editorial & News Products

About the Role

As a Senior Data Scientist – Editorial & News Products, you will:

  • Partner with editorial leaders, newsroom stakeholders, and product managers to translate editorial goals into data science problems and measurable outcomes.
  • Work across the editorial lifecycle, including content data product creation, enrichment, curation, distribution, and audience engagement.
  • Design, build, and deploy machine learning and statistical models that support editorial news products.
  • Develop models for content recommendation, personalisation, topic detection, tagging, clustering, and trend identification.
  • Explore, analyse, and prepare complex editorial and audience datasets to generate actionable insights.
  • Design and maintain data pipelines and feature stores in collaboration with engineering teams.
  • Collaborate with data analysts to build dashboards and data stories that help editorial and product teams understand content performance and audience behaviour.
  • 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 rigour and responsible AI.
  • Stay current with advances in AI for media and news products, and help drive their responsible adoption across the organisation.

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.
  • 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).
  • Deep experience with NLP and text‑based ML, such as classification, embeddings, topic modelling, sentiment analysis, sequence models, and transfer learning.
  • Hands‑on experience building generative AI solutions using large language models (e.g., GPT‑style or open‑source models), including prompt engineering, RAG, and agent‑based approaches.
  • Experience with recommendation systems, information retrieval, search relevance, or personalisation, ideally in content‑heavy or media‑like domains.
  • 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.
  • Strong data storytelling and visualisation skills, with experience using Tableau, Power BI, or equivalent tools.
  • 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.

What’s in it For You?

Hybrid Work Model

  • Flexible hybrid working environment (2‑3 days a week in the office depending on the role) for office‑based roles while delivering a seamless experience that is digitally and physically connected.

Flexibility & Work‑Life Balance

  • Flex My Way policies to help manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.

Career Development and Growth

  • Culture of continuous learning and skill development.
  • Grow My Way programming and skills‑first approach to equip you for an AI‑enabled future.

Industry Competitive Benefits

  • Flexible vacation, two company‑wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Culture

  • Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more.
  • Values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

Social Impact

  • Two paid volunteer days off annually.
  • Opportunities to engage in pro‑bono consulting projects and ESG initiatives.

Making a Real‑World Impact

  • Contribute to a company that helps customers pursue justice, truth, and transparency, supporting the rule of law and delivering trusted, unbiased information worldwide.

Compensation (U.S.)

  • Eligible office locations: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC.
  • Base compensation range: $158,000 USD – $293,000 USD (positioned based on knowledge, skills, experience, and internal equity).
  • Potential eligibility for an Annual Bonus based on enterprise and individual performance.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.

Reuters, part of Thomson Reuters, is a world‑leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.

Equal Employment Opportunity & Accommodations

  • Thomson Reuters is an Equal Employment Opportunity Employer providing a drug‑free workplace.
  • We seek talented, qualified employees regardless of race, color, sex/gender (including pregnancy), gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
  • We make reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.
  • If you reside in the United States and require an accommodation in the recruiting process, contact HR at HR.Leave-Expert@thomsonreuters.com.

Additional Information

  • Learn more about protecting yourself from fraudulent job postings and request accommodations via the links provided in the original posting.
  • Discover more about Thomson Reuters at thomsonreuters.com.
  • Explore our employer story, blog, awards, values, talent community, and future‑ready careers through the company’s career site.

Skills

AWS GlueAWS SageMakerDockerGPTinformation retrievallarge language modelsmachine learningnatural language processingNLPOpen SourcePower BIPythonRAGrecommendation systemsSQLSnowflakeTableautext-based ML

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