Data Scientist

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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.

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, contributing to Statements of Work (SOWs) for new sales or POCs, and executing design post‑sale while getting deeply involved in the delivery of proposed solutions. The role interfaces with the customer and provides continuity of technical and data‑exploration expertise to ensure a workable solution.

• 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 to a non‑technical audience about our content and processes by data analysis and visualization.
• Define and develop software for analysis and manipulation of large and very large data‑sets.
• Guide the architecture of big‑data business processes with an eye toward robustness, parsimony, and reproducibility.
• Work with interdisciplinary engineering and research teams on designing, building, and deploying data analysis systems for large data sets.
• Work closely with customers to apply data science to their mission‑specific content.
• Create algorithms to extract information from large data sets.
• Establish scalable, efficient, automated processes for model development, validation, implementation, and large‑scale data analysis.
• Develop metrics and prototypes that can be used to drive business decisions.
• Provide thought leadership and dependable execution on diverse projects.
• Identify emerging trends and opportunities for future client growth and development.
• Research and identify AI methods—including ML and NLP methods—and explore new applications of AI in the context of Thomson Reuters and TRSS content sets.

• 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 results to internal or external stakeholders (education can substitute for some years).
• Programming skills in one or more major languages (Python, R, Java).
• Creative, intellectually curious, and willing to experiment and work in dynamic organizations with little oversight.
• Ability to take ownership of accountability areas, especially technical and data design integrity.
• Good understanding of distributed computing concepts.
• Experience facilitating input from subject matter experts.
• Excellent understanding of ML, NLP, and statistical methodologies.
• Ability to test ideas and adapt methods quickly from data extraction to implementation and validation.
• Strong planning, time management, and organizational skills.
• Team player / self‑starter mentality with initiative.
• Ability to obtain and maintain a U.S. national security clearance.

• Big Data analytics experience (preferred).
• Experience with data modeling for graphs (preferred).
• Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies (preferred).

• Hybrid work model: flexible hybrid working environment (2‑3 days a week in the office).
• Flexibility & work‑life balance:
  Flex My Way policies, work from anywhere up to 8 weeks a year.
• Career development:
  Grow My Way programming and skills‑first approach.
• Industry‑competitive benefits: flexible vacation, mental…