Data Scientist Job at Staffing the Universe, United States

  • Staffing the Universe
  • United States

Job Description

Data Scientist

We are seeking highly analytical and outcome-driven Data Scientists to translate business questions into testable hypotheses, apply advanced analytical methods, and deliver evidence-based recommendations that drive measurable business impact.

Location: San Deigo CA

Remote

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: 6+ 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.

Job Tags

Remote work

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