TRSS
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.
Job Description Define, manipulate, aggregate and use both structured and unstructured “big data” in order to support descriptive and predictive analytics across the businesses.
Responsibilities
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 Responsibilities
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 recommending additional sources of data for improvement.
Qualifications
A bachelor’s or master’s degree in a quantitative field (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).
Creative, intellectually curious, and willing to experiment and work in dynamic organizations and situations with little oversight.
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).
What’s in it For You?
Hybrid Work Model: flexible hybrid working environment (2‑3 days a week in the office, depending on the role).
Flexibility & Work‑Life Balance: flex‑my‑way work arrangements, up to 8 weeks remote per year.
Career Development and Growth: continuous learning, skill development, Grow My Way programming.
Industry Competitive Benefits: flexible vacation, mental health days, Headspace app, retirement savings, tuition reimbursement, employee incentive programs, wellbeing resources.
Culture: global inclusion, belonging, values.
Social Impact: volunteer days, ESG initiatives.
Real‑World Impact: supporting justice, truth, transparency worldwide.
Compensation Eligible office location(s) for this role: New York City, San Francisco, Los Angeles, Irvine (CA), McLean (VA), Washington, DC. Base compensation ranges vary by location: $101,640 – $188,760 for major cities; $88,200 – $163,800 for other U.S. locations. Potential annual bonus based on performance. Base pay is one part of a comprehensive Total Reward program including benefits and wellbeing programs.
Equal Opportunity Statement We are an Equal Employment Opportunity Employer and seek qualified employees in all operations worldwide regardless of race, color, sex/gender, pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification. We make reasonable accommodations for applicants with disabilities. If you reside in the United States and require an accommodation, please contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
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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.
Job Description Define, manipulate, aggregate and use both structured and unstructured “big data” in order to support descriptive and predictive analytics across the businesses.
Responsibilities
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 Responsibilities
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 recommending additional sources of data for improvement.
Qualifications
A bachelor’s or master’s degree in a quantitative field (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).
Creative, intellectually curious, and willing to experiment and work in dynamic organizations and situations with little oversight.
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).
What’s in it For You?
Hybrid Work Model: flexible hybrid working environment (2‑3 days a week in the office, depending on the role).
Flexibility & Work‑Life Balance: flex‑my‑way work arrangements, up to 8 weeks remote per year.
Career Development and Growth: continuous learning, skill development, Grow My Way programming.
Industry Competitive Benefits: flexible vacation, mental health days, Headspace app, retirement savings, tuition reimbursement, employee incentive programs, wellbeing resources.
Culture: global inclusion, belonging, values.
Social Impact: volunteer days, ESG initiatives.
Real‑World Impact: supporting justice, truth, transparency worldwide.
Compensation Eligible office location(s) for this role: New York City, San Francisco, Los Angeles, Irvine (CA), McLean (VA), Washington, DC. Base compensation ranges vary by location: $101,640 – $188,760 for major cities; $88,200 – $163,800 for other U.S. locations. Potential annual bonus based on performance. Base pay is one part of a comprehensive Total Reward program including benefits and wellbeing programs.
Equal Opportunity Statement We are an Equal Employment Opportunity Employer and seek qualified employees in all operations worldwide regardless of race, color, sex/gender, pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification. We make reasonable accommodations for applicants with disabilities. If you reside in the United States and require an accommodation, please contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
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