Data Scientist

Thomson Reuters•McLean, VA

14d•$102,200 - $189,800•Remote

About The Position

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.

Requirements

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.

Nice To Haves

Experience with graph databases and network analysis.
Familiarity with search engines, classification algorithms, and recommendation systems

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.
Participate in a rotating on-call schedule to address any critical emergencies and ensure model availability.

Benefits

Flexibility & Work-Life Balance
Flex My Way supportive workplace policies
Work from anywhere for up to 8 weeks per year
Career Development and Growth
Continuous learning and skill development
Grow My Way programming
Skills-first approach
Industry Competitive Benefits
Comprehensive benefit plans
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
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
Access to Employee Stock Purchase Plan