Data Scientist

Reuters; New York (NY); On-site; USD 118,000 - 219,000; Full time

Benefits offered by this job

Hybrid Work Model

Comprehensive Benefits

Paid Time Off

Job summary

Thomson Reuters Special Services (TRSS) in New York, NY is seeking a Data Scientist to support Federal Law Enforcement customers on-site. You will collect, integrate, and analyze large datasets, build models, and translate findings into actionable insights for technical and non-technical audiences.

The role requires 3+ years in data management/analysis, Python and SQL proficiency, and the ability to obtain a U.S. security clearance. This is not a telework position.

Qualifications

• U.S. citizenship required and ability to obtain/maintain security clearance.
• Bachelor’s or Master’s in a technical field; preferred disciplines include data science, computer science, statistics, GIS, or related.
• At least 3 years of experience in data management, data analysis, data modeling, or related technical areas.

Responsibilities

• Collect, integrate, clean, verify, resolve, and maintain large datasets.
• Analyze data using statistical methods, graph networks, anomaly detection, spatial and sentiment analysis.
• Develop and apply data models including machine learning and AI; translate findings into dashboards and insights.

Skills

Python

SQL

Data analysis

Security clearance readiness

Education

Bachelor’s or Master’s degree in a technical field

Tools

REST APIs

Git

Containerization

Job 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 US Government customer sites in the **New York, NY** 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! # Key Responsibilities Data Scientists in this role will support Federal Law Enforcement missions by applying technical expertise to complex investigative and operational challenges. Responsibilities include:* Collect, integrate, clean, verify, resolve, and maintain large and complex datasets.* Analyze data using statistical methods, graph networks, anomaly detection, spatial analysis, pattern-of-life analysis, sentiment analysis, and related techniques.* Develop and apply data models, including risk models, community detection, classification, computer vision, machine learning, and artificial intelligence models.* Translate data findings into actionable insights through dashboards, visualizations, briefings, and clear explanations for technical and non-technical audiences.* Write, edit, customize, and execute Python code to support mission requirements.* Use SQL for data extraction, pipelining, exploration, and analysis.* Work directly with customers to understand problem statements, define project goals, develop methods, and deliver results within required timeframes.* Contribute to internal innovation, research and development, shared capabilities, technical skill development, and business development efforts such as proof-of-concept projects and capabilities briefings. # Required Qualifications* United States Citizenship, as required 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 at U.S. Government customer sites in the Manhattan, NY area. This is not a telework position.* Bachelor’s or Master’s degree in a technical field, such as data science, statistics, computer science, mathematics, physical or biological sciences, geographic information systems, or a related discipline.* At least 3 years of relevant experience in data management, data analysis, data modeling, data storytelling, programming, SQL, or related technical areas.* Practical experience writing, editing, customizing, and executing code in Python.* Experience using SQL for data extraction, pipelining, exploration, or analysis.* 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 represent TRSS professionally.* Ability to work independently and collaboratively with Data Scientists, Subject Matter Expert Analysts, Data Engineers, and cross-disciplinary teams.Advanced degrees may be considered as a substitute for experience: a Master’s degree in a related field may substitute for two years of experience, and a PhD or equivalent in a related field may substitute for four years of experience. # Preferred Qualifications Preference will be given to candidates who meet the required qualifications and also bring one or more of the following:* 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. * #LI-SW1 **What’s in it For You?*** **Hybrid Work Model:** We’ve adopted a flexible hybrid working environment 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 $117,700 USD - $218,600 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.