About the Role

We are seeking a Data Scientist to contribute and lead the data science efforts for a cutting-edge investigative platform used by thousands of external users. The platform, which serves as an essential tool for investigators, leverages machine learning, computer vision, natural language processing (NLP), and statistical analysis techniques to process large-scale unstructured image, text and video data.

As a Data Scientist, you will be responsible for developing, evaluating, and optimizing machine learning models, as well as conducting research to improve algorithm efficiency and performance. You will collaborate closely with a cross-functional team of DevOps engineers, software developers, data engineers, and product managers to enhance the platform's capabilities for its investigator user base.

This role is ideal for a mission-driven individual who thrives in a dynamic environment, enjoys solving complex data challenges, and is passionate about building innovative solutions to support investigators in their critical work.

Key Responsibilities

• Develop and optimize predictive models and machine learning solutions for analyzing unstructured data (text, images, video).

• Collaborate with engineering and research teams to design, build, and deploy scalable predictive systems.

• Apply statistical and machine learning techniques to extract insights and improve platform performance.

• Research and experiment with state-of-the-art AI/ML methodologies.

• Guide the data pipeline architecture from a data science perspective with a focus on robustness, scalability, and reproducibility.

• Provide thought leadership on emerging data science trends and opportunities for growth.

• Identify and integrate additional data sources to enhance investigative capabilities.

• Contribute directly to product development by working closely with the product team and client to refine requirements and deploy solutions.

About You

You're a great fit for this role if you have:

• A Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Physical/Biological Sciences, or GIS).

• 3-5 years of experience in data processing, analysis, and machine learning development (education can substitute for some experience).

• Proficiency in Python and experience working with structured and unstructured data.

• Strong understanding of machine learning, NLP, computer vision, and statistical methodologies.

• Experience working with large-scale data.

• The ability to take ownership of technical design decisions and ensure alignment with customer needs.

• A curious and experimental mindset, with a passion for problem-solving in dynamic environments.

• Excellent planning, organizational, and time management skills.

• A team-oriented mindset with the ability to work independently and take initiative.

• Hands on experience with Bash, SQL, and Docker.

• Experience with graph databases and network analysis.

• Familiarity with search engines, classification algorithms, and recommendation systems
• Participate in a rotating on-call schedule to address any critical emergencies and ensure model availability.

#LI-SW1

What's in it For You?

• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
• Industry Competitive Benefits: We offer comprehensive benefit plans to include 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. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: 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; and access to Employee Stock Purchase Plan.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.For any eligible US locations, unless otherwise noted, the base compensation range for this role is $102,200 USD - $189,800 USD.Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

This job posting will close 10/02/2026.