121 applicants

Company

Original Job Post

Thomson Reuters · 2 days ago

Data Scientist

McLean, VA

Full-time

Hybrid

Mid Level

3+ years exp

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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 recommends additional sources of data for improvement.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data cleaningData analysisProgrammingPythonRJavaDistributed computingMachine learningNatural language processingStatistical methodologiesTestingValidationObtainMaintain U.S. national security clearanceProblem-solvingCreativeIntellectually curiousAdaptableTeam playerSelf-starterBig Data AnalyticsData ModelingGraphsSearch EnginesClassification AlgorithmsRecommendation SystemsRelevance Evaluation Methodologies

Required

A minimum of DHS-granted public trust suitability required, active DOD Top-Secret clearance preferred.

A Bachelor’s degree in a quantitative field (e.g., statistics, computer science, mathematics, physical/biological sciences, or GIS).

3 years of experience with data cleaning, analysis, programming, and reporting of results to internal or external stakeholders

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.

Preferred

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).