Data Scientist || Onsite || Multiple Locations

Irving, TX, US • Posted 2 hours ago • Updated 59 minutes ago
Contract Independent
Contract W2
Contract Corp To Corp
Travel Required
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Mergers and Acquisitions
  • Forecasting
  • Modeling
  • Visualization
  • Reporting
  • Collaboration
  • Documentation
  • Mentorship
  • Analytics
  • Python
  • R
  • SQL
  • Analytical Skill
  • Machine Learning (ML)
  • Predictive Analytics
  • Statistics
  • Mathematics
  • Data Science
  • Health Care
  • Medical Devices
  • Life Sciences

Summary

Position: Data Scientist

Location: Irving TX/ Princeton NJ/ San Diego CA/ Acton MA

Duration: Contract

Healthcare Industry experience required

Job Description

Key Responsibilities

  • Translate approved business questions into testable hypotheses sized at one to three days with clear exit criteria and confidence levels.
  • Design and execute analytical methods including segmentation, causal inference, forecasting, propensity modeling, uplift modeling, and experiment design.
  • Defend analytical methodology and findings during review and governance forums.
  • Provide an initial evidence-based answer within five business days, including inconclusive or negative results.
  • Maintain daily progress updates covering hypotheses tested, findings, confidence level, next steps, and blockers.
  • Develop production-quality, version-controlled analytical code with reproducible notebooks and documented assumptions.
  • Partner with Data Engineers to define features, granularity, historical data requirements, and address data gaps proactively.
  • Convert validated findings into metric definitions and business logic for visualization and reporting.
  • Collaborate with client data scientists and provide comprehensive model documentation for handover and reuse.

Additional Responsibilities (Senior Data Scientist)

  • Serve as analytics lead for the pod.
  • Own analytical quality across engagements.
  • Act as peer reviewer and mentor internal and client analysts.
  • Drive analytics best practices and technical excellence.

Qualifications

  • Data Scientist: 10+ years of applied data science experience.
  • Advanced proficiency in Python and/or R and SQL.
  • Demonstrated experience deploying analytical models into production.
  • Strong foundation in statistics, machine learning, experimentation, and predictive analytics.
  • Strong background in statistics, mathematics and with data science degree
  • Healthcare, medical device, life sciences, or regulated-industry experience preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10457702
  • Position Id: 2026-39212
  • Posted 2 hours ago
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