Job Description Summary
The Data Scientist will be responsible for managing, understanding and analyzing in-house and customer data - including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities. This individual will work closely with the TRSS Analysts to drive, identify, evaluate, design and implement 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. Successful candidates will have the opportunity to contribute directly to the features and capabilities deployed in our applications. They will work with customers to assist in gathering requirements and contributing to Statements of Work (SOWs) for new sales or POCs and executing design post sale while getting deeply involved into the delivery of the proposed solutions. 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.
Justification
Justification
Two backfill positions and new contracts.
Hiring Requirements
Job Details
Job Profile
Job Profile
104828 - Data Scientist TR5
Job Families for Job Profiles
Job Families for Job Profiles
Technical Career Path
Worker Sub-Type
Worker Sub-Type
Regular
Worker Type
Worker Type
Employee
Time Type
Time Type
Full time
Compensation Grade
Compensation Grade
TR5
Remote Type
Remote Type
On-Site
Primary Location
Primary Location
USA-McLean-1410 Spring Hill Rd Suite 125
Primary Job Posting Location
Primary Job Posting Location
USA-McLean-1410 Spring Hill Rd Suite 125
Additional Locations
Additional Locations
(empty)
Additional Job Posting Locations
Additional Job Posting Locations
(empty)
Scheduled Weekly Hours
Scheduled Weekly Hours
40
Work Shift
Work Shift
(empty)
Recruiting Start Date
Recruiting Start Date
07/18/2025
Target Hire Date
Target Hire Date
09/22/2025
Target End Date
Target End Date
(empty)
Additional Information
Union Membership from Job Profile
Union Membership from Job Profile
(empty)
Allowed Unions from Job Profile
Allowed Unions from Job Profile
(empty)
Collective Agreement Details
Collective Agreement
Collective Agreement
(empty)
Job Description
Job Description
About the role: The Data Scientist will be responsible for managing, understanding and analyzing in-house and customer data - including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities. This individual will work closely with the TRSS Analysts to drive, identify, evaluate, design and implement 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. Successful candidates will have the opportunity to contribute directly to the features and capabilities deployed in our applications. They will work with customers to assist in gathering requirements and contributing to Statements of Work (SOWs) for new sales or POCs and executing design post sale while getting deeply involved into the delivery of the proposed solutions. 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. Job Description Define, manipulate, aggregate and use both structured and unstructured "big data" in order to support
descriptive and predictive analytics across the businesses. Collaborate with scientists, product groups and content groups to perform "big data" aggregations, symbology mapping, and manipulations of important data-sets
Perform statistical (and machine learned) analyses on data to serve business purposes
Narrate stories (sometimes to a non-technical audience) about our content and processes by data analysis and visualization
Define and develop software for the analysis and manipulation of large and very large data-sets
Guide the architecture of "big-data" business processes with an eye towards robustness, parsimony and reproducibility (at senior levels)
Additional Information Are you passionate about the chance to bring your data quality improvement experience to a world class organization that is leading the way in both content and technology to serve and protect our citizens home and abroad? Do you have the skills necessary to manage, understand, and analyze inhouse
and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities? Then Thomson Reuters Special Services (TRSS) is looking for you! What You'll Do: As a Data Scientist, you will be responsible for driving, identify, evaluate, design and implement 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. Successful
candidates will have the opportunity to contribute directly to the features and capabilities deployed in our applications. They will work with customers to assist in gathering requirements and contributing to Statements of Work (SOWs) for new sales or POCs, and executing design post sale while getting deeply
involved into the delivery of the proposed solutions. 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 the Data Scientist, you will also contribute to a variety of areas including: Working with interdisciplinary engineering and research teams on designing, building and deploying data analysis systems for large data sets.
Working closely with customers to apply data science to their mission specific content.
Creating algorithms to extract information from large data sets.
Establishment of scalable, efficient, automated processes for model development, model validation, model implementation, and large-scale data analysis.
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 Machine Learning (ML) and Natural Language Processing (NLP) methods.
Identification of new applications of AI in the context of Thomson Reuters and TRSS content sets.
Exploring existing data for insights, and recommends additional sources of data for improvement.
About You: You're a good fit for the role of Data Scientist 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 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).
Are creative, intellectually curious, and willing to experiment and work in dynamic organizations and situations, sometimes with little oversight or well-defined requirements.
The ability to take ownership for defined areas of accountability, most critically the integrity of the technical and data design in terms of meeting customer needs, design delivery and supportability.
A good understanding of distributed computing concepts.
Experience facilitating and gathering input from subject matter experts.
Excellent understanding of ML, NLP, and statistical methodologies.
The ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation.
Strong planning, time management, and organizational skills.
A team player / self-starter mentality with the ability to work using own initiative.
Ability to obtain and maintain a U.S. national security clearance.
Additional Desired Skills: Big Data analytics experience (preferred, but not required).
Previous experience with data modeling for graphs (preferred, but not required).
Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies (preferred, but not required).
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