[Remote] Data Scientist
Note: The job is a remote job and is open to candidates in USA. Georgia IT, Inc. is seeking highly analytical and outcome-driven Data Scientists to translate business questions into testable hypotheses and deliver evidence-based recommendations. The role involves applying advanced analytical methods, developing production-quality code and models, partnering with data engineers and client data scientists, and converting validated findings into reporting logic.
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
- 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
Skills
- 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
Benefits
- Remote work arrangement
Company Overview
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