Data Scientist

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

Qualifications:

Ability to obtain and maintain an Security Clearance

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.