Thomson Reuters

Data Scientist

Thomson Reuters

full-time

Posted on:

Location Type: Hybrid

Location: McLean • California, District of Columbia, New York, Vermont, Virginia • 🇺🇸 United States

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Salary

💰 $88,200 - $163,800 per year

Job Level

Mid-LevelSenior

Tech Stack

JavaOpen SourcePython

About the role

  • Manage, understand and analyze in-house and customer data, including text mining, predictive systems, risk scoring, efficient algorithms, and data quality improvement
  • 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 and customers
  • Collaborate with scientists, product groups, content groups, and TRSS Analysts to perform big data aggregations, symbology mapping, and data manipulations
  • Contribute directly to features and capabilities deployed in applications and work with customers to gather requirements and contribute to Statements of Work (SOWs) and execute post-sale design and delivery
  • Perform statistical and machine learned analyses to serve business purposes and narrate stories through 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 focus on robustness, parsimony and reproducibility
  • Work with interdisciplinary engineering and research teams to design, build and deploy data analysis systems for large data sets
  • Establish scalable, efficient, automated processes for model development, validation, implementation, and large-scale data analysis
  • Develop metrics and prototypes to drive business decisions and provide thought-leadership on diverse projects
  • Research and identify AI methods (including ML and NLP) and identify new applications for TRSS content sets

Requirements

  • 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 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)
  • Excellent understanding of ML, NLP, and statistical methodologies
  • Experience with data cleaning, text mining, developing predictive systems, risk scoring, creating efficient algorithms, and data quality improvement
  • Good understanding of distributed computing concepts
  • Experience facilitating and gathering input from subject matter experts
  • 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
  • Ability to obtain and maintain a U.S. national security clearance
  • Preferred: Big Data analytics experience
  • Preferred: Experience with data modeling for graphs
  • Preferred: Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies
Benefits
  • Hybrid Work Model: flexible hybrid working environment (2-3 days a week in the office depending on the role)
  • Flex My Way policies, including work from anywhere for up to 8 weeks per year
  • Flexible vacation, sick and safe paid time off, and paid holidays (including two company mental health days)
  • Two company-wide Mental Health Days off and access to the Headspace app
  • Retirement savings with 401(k) plan and company match
  • Health, dental, and vision insurance
  • Disability and life insurance
  • Parental leave and sabbatical leave
  • Annual Bonus eligibility (based on enterprise and individual performance)
  • Tuition Reimbursement and Grow My Way career development programs
  • Employee incentive programs and resources for mental, physical, and financial wellbeing
  • Optional hospital, accident and sickness insurance (employee-paid)
  • Optional life and AD&D insurance (employee-paid)
  • Flexible Spending and Health Savings Accounts
  • Fitness reimbursement
  • Employee Assistance Program
  • Group Legal Identity Theft Protection (employee-paid)
  • Access to 529 Plan
  • Commuter benefits
  • Adoption & Surrogacy Assistance
  • Employee Stock Purchase Plan

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysistext miningpredictive systemsrisk scoringefficient algorithmsmachine learningnatural language processingdata cleaningprogramming (Python)programming (R)
Soft skills
collaborationcommunicationplanningtime managementorganizational skillsadaptabilitythought leadership
Certifications
U.S. national security clearance
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