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Lead, Data Science

Thomson Reuters
life insurance, parental leave, paid time off, paid holidays, tuition reimbursement, 401(k)
United States, Virginia, McLean
1410 Spring Hill Road (Show on map)
Jan 22, 2025

About the Role:

As aLead, Data Science, provide personnel, technical, and project leadership across the Department of Defense to a team that drives, identifies, evaluates, designs and implements statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings. The data science organization is matrixed in that your team will serve a range of different customers within the DOD and adjacent territories and possess a range of different skill sets that apply to individual projects and broader company innovation and engineering mandates. Successful candidates will have demonstrated mentorship and guidance experience in data science, research and development, and other associated interdisciplinary teams.

You will collaborate with customers and internal resources to assist in gathering requirements, contributing to Statements of Work (SOWs) for new sales or POCs, and executing design post sale while getting deeply involved into the delivery, monitoring, and reporting of the proposed solutions and data science team performance. The role will interface with the customer and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer.

As theLead, Data Scientist, you will also contribute to a variety of areas including:

  • Individual contribution and innovation relative to your expertise, interest, and organizational need.

  • Participate in team-wide management initiatives around reporting, shared environment development, engineering process initiatives, data cataloging and metadata management, and analysis and implementation of ethical practices in data science.

  • Development of metrics and prototypes that can be used to drive business decisions.

  • Providing thought-leadership and dependable execution on diverse projects.

  • Identification of emergent trends and opportunities for future client growth and development.

  • Researching and identifying artificial intelligence (AI) methods - including but not limited to machine learning (ML), natural language processing (NLP), GIS, computer vision and image process, and graph construction and analysis.

  • Identification of new applications of AI in the context of Thomson Reuters and TRSS content sets.

  • Exploring existing data for insights and recommend additional sources of data for improvement.

About you:

You will be a good fit if you have:

  • A Master's degree or PhD in a quantitative field (e.g., statistics, computer science, mathematics, physical/biological sciences, or GIS).

  • Experience working within the Department of Defense or as a DOD contractor.

  • 7-10 years of hands-on experience with data cleaning, analysis, programming, and reporting of results to internal or external stakeholders (education can substitute for some years of experience)

  • Programming skills in one or more major programming languages(Python/R/Java).

  • Excellent understanding of ML, NLP, and statistical methodologies as well as a range of data science and data engineering concepts and practices (visualization, network analysis, entity resolution, development environments and practices).

  • Demonstrated personnel leadership (mentorship, support, coaching) or management experience

  • Demonstrated ability to translate customer needs into well-structured research/project plans

  • Experience as a technical leader, coordinating and guiding the work of others

  • Experience as a project leader,communicating with stakeholders,scopingand delivering project work

  • Ability to obtain and maintain a U.S. national security clearance.

Additional Desired Skills:

  • On-prem or cloud-based "big data" analytics, techniques and tools experience (preferred, but not required).

  • Previous experience with data modeling and associated technologies (e.g. Neo4j) for graphs (preferred, but not required).

  • Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies (preferred, but not required)

#LI-SW1

What's in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

  • 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

  • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

  • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

  • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters cafe networking.

  • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

  • Purpose Driven Work: We have a superpower that we've never talked about with as much pride as we should - we are one of the only companies on the planet 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 $134,680 - $250,120. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. 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.

Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we've been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world's most global news services - Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

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 that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

Accessibility

As a global business, we rely on diversity of culture and thought to deliver on our 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/Affirmative Action Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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More information about Thomson Reuters can be found on https://thomsonreuters.com.

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