Senior Specialist, Data Scientist
- Deliver scalable, well-governed analytics: translate operational needs into robust analyses and ML models; use dashboards for storytelling.
- Own the end-to-end workflow: frame hypotheses, source and prep data (DBs/APIs/files), run exploratory/descriptive/predictive analyses, and present clear, actionable insights.
- Ensure quality and speed: apply reviews and source checks, state assumptions/limits, stay in scope, and respond to ad hoc requests with timely outputs.
- Partner and enable work with data engineering on ETL, train users, share best practices, and build adoption of ODS analytics.
- Grow and lead by example: stay current on methods/tools and model integrity, initiative, adaptability, organization, and strategic thinking.
- Bachelor’s degree in computer science, data/analytics, statistics, engineering, or related field; 3+ years’ experience.
- Advanced hands-on with Python and visualization (Power BI, Spotfire); track record delivering advanced analytics, not just dashboards.
- Proficient with SQL/NoSQL, ETL, cloud platforms, and software best practices (reproducibility, version control).
- Proven complex analysis in business/scientific domains, including Clinical Operations.
- Strong grasp of data science, ML algorithms, statistical inference, and model evaluation.
- Clear written and verbal English; able to explain assumptions, uncertainties, and limitations.
- Experience in Agile delivery and exposure to modern MLOps.
- Evidence of improving processes, documentation, quality standards, and driving stakeholder adoption.
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