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Associate Data ScientistPowerToFly • Virginia, Minnesota, United States
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Associate Data Scientist

PowerToFly
  • US
    Virginia, Minnesota, United States
  • US
    Virginia, Minnesota, United States
Jetzt Bewerben

Über

Summary and Description Thomson Reuters Special Services (TRSS) is looking for a Data Scientist to support our Federal Law Enforcement customers. TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations. Success in this role requires strong technical depth, the initiative to operate with minimal direction, creativity to develop novel solutions, and a mission-focused mindset.
TRSS Data Scientists support the full range of Federal Law Enforcement missions including, but not limited to: Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, Transnational Crime, and more. Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof‑of‑concept projects and capabilities briefings.
This opportunity is specifically for positions located on U.S. Government customer sites in the Washington, DC area. This is not a telework position.
We recruit from a broad range of disciplines and experience. If you are passionate about the chance to put your Data Science skills to practice in support of Federal Law Enforcement, then we are looking for you!
About the Role TRSS Data Scientist candidates must possess the following minimum qualifications. Please ensure your resume and application clearly demonstrate that you have:
United States Citizenship (essential to comply with government contract requirements).
Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment.
Willingness to work full time, on‑site, embedded at U.S. Government offices in the Washington, DC area. (Specific office assignments are subject to change).
Bachelor’s or Master’s Degree in a technical field (e.g., data science, statistics, computer science, mathematics, physical/biological sciences, or geographic information systems (GIS), etc.).
At least 3 years of relevant experience. Relevant experience can include some combination of:
Large Data Management: querying, extracting, cleaning, verifying, resolving, and maintaining data.
Large Data Analysis: statistical methods, graph networks, anomaly detection, spatial analysis, pattern‑of‑life, sentiment analysis.
Large Data Modeling: risk modeling, community detection, classification, computer vision, and general application of machine learning (ML) and artificial intelligence (AI) models.
Large Data Storytelling: explaining insights and methodology to a non‑technical audience, dashboards, plots & visualizations, direct experience with customers.
Programming: Candidates must have practical experience writing, editing, customizing, and executing code written in Python.
SQL proficiency: Candidates must have experience using SQL for data extraction, pipelining, or exploration.
Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. Ability to interface directly with customers at all levels and be a representative of TRSS.
Ability to work both independently and as a member of a team. Teams may include other Data Scientists or be cross‑disciplinary and include Subject Matter Expert Analysts and/or Data Engineers.
Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and deliver actionable results within required timeframes.
About you Preference will be given to candidates who possess the minimum qualifications and the following preferred qualifications. Please ensure your resume and application clearly demonstrate that you have:
Current/Active government work suitability or security clearance.
Experience working with law enforcement agencies.
Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL.
Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs.
What’s in it For You?
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2‑3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.
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. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $94,000 USD – $175,000 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.
Equal Employment Opportunity As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world 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. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug‑free workplace.
Thomson Reuters makes 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, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.
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  • Virginia, Minnesota, United States

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  • English
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