Data Scientist

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract W2
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Snow Flake Schema
  • Pharmaceutics
  • Preventive Maintenance
  • Machine Learning (ML)
  • Modeling
  • Demand Forecasting
  • Embedded Systems
  • Fluency
  • Forecasting
  • Health Care
  • Analytical Skill
  • Artificial Intelligence
  • Collaboration
  • Data Engineering
  • Data Science
  • NumPy
  • Pandas
  • Performance Management
  • Product Development
  • Project Management
  • Time Series
  • Visualization
  • scikit-learn

Summary

Data Scientist to support both traditional analytical work and AI/ML product initiatives within a healthcare data environment. This individual will be embedded on a team that values strong data fundamentals alongside applied modeling experience.

Key Responsibilities

Develop, validate, and maintain forecasting models to support business and product decisions
Analyze complex healthcare datasets, including patient-level and commercial data
Collaborate with data engineering and product teams to understand data sources, pipelines, and lineage
Contribute to AI/ML product work alongside traditional statistical analysis
Contribute data science support to REJOYN, an internal product development initiative at Otsuka, working alongside product and engineering teams to advance its analytical capabilities

Required Technical Skills

Python primary coding language; proficiency in pandas, NumPy, scikit-learn, and relevant modeling libraries expected
Forecasting hands-on experience building time-series or demand forecasting models
Healthcare data familiarity with healthcare datasets (claims, clinical, commercial, or similar)
Data fluency ability to trace data from source systems, assess quality, and understand how upstream decisions affect downstream outputs

Technology Environment

Data Platform: Snowflake
AI Tooling: Google AI Suite
BI / Visualization: Looker (to be confirmed)

Nice to Have

Experience with AI/ML product development in addition to traditional data science
Familiarity with pharmaceutical or biotech commercial data environments
Experience working within a Snowflake data platform environment

Work Schedule & Location

Fully remote
Candidate must be available and working no later than 12:00 PM Mountain Time and maintain standard business hours from that point forward
(This accommodates collaboration with team members across MT/PT time zones)

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: dynpro
  • Position Id: 8927070
  • Posted 4 hours ago
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