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

Job title

Data Scientist

Job type

Experience level

Mid levelSenior

Salary

$88,200 - $163,800 per year

Degree requirement

Bachelor's Degree

Location requirements

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