Overview

Thomson Reuters Special Services, LLC delivers a comprehensive suite of solutions designed to help customers achieve mission objectives, address uncertainty, and identify and manage risk. We leverage Thomson Reuters’ market-leading solutions to help our clients perform intelligence collection and analysis of a range of security, regulatory and compliance issues – e.g., cyber security, threat finance, insider threat detection, and risk management.

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 and government partners 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.

Key Responsibilities And Duties
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, model validation, model 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 emergent trends and opportunities for future client growth and development.
Researches and identifies Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods
Identifies new applications of AI in the context of Thomson Reuters and TRSS content sets
Explores existing data for insights and recommends additional sources of data for improvement

Company:

Thomson Reuter

Qualifications:

Must have or be able to acquire and maintain a US Government Security Clearance – current or recent active clearances (Secret/TopSecret) or BI investigations are highly preferred.
Excellent programming skills in one major programming language (Java/Python/R/Scala)
Must be creative, intellectually curious, and willing to experiment and work in dynamic organizations and situations, sometimes with little oversight or well-defined requirements.
Must 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 with database, workflow and orchestration frameworks preferred (e.g. SQL, Kafka; NiFi, Docker, Kubernetes, etc.)
Big Data analytics experience preferred
Strong background in engineering, process data management, or service management in a medium size complex technology environment.
Previous experience with data modeling for graphs.
Experience in complex analysis of processes and tools
Experience facilitating gathering input from subject matter experts.
Excellent understanding of ML, NLP and statistical methodologies
Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation
Experience with search engines, classification algorithms, recommendation systems and relevance evaluation methodologies a plus
Experience leading project work focused on a specific process area.
Strong planning, time management and organizational skills
Good team player / self-starter with the ability to work using own initiative.

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