Data Scientist

• If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let’s transform healthcare together. POSITION SUMMARY:
• Analytical Ownership
• Problem Framing: Translate ambiguous business questions into precise analytical problems, define success measures, and select methods that produce actionable, decision-ready outputs.
• Data Preparation: Build reliable analytical datasets by assessing data quality, resolving inconsistencies, documenting assumptions, and preserving traceability from source through final analysis.
• Model Development: Develop and evaluate statistical or predictive models using appropriate techniques, balancing performance, interpretability, robustness, and practical business requirements.
• Business Partnership
• Insight Delivery: Communicate findings, uncertainty, tradeoffs, and recommended actions clearly to cross-functional partners, enabling timely decisions grounded in evidence and business context.
• Experiment Design: Design rigorous analyses and experiments that test hypotheses, quantify impact, and distinguish meaningful signals from noise before operational decisions are made.
• Decision Support: Apply AI-assisted analytical techniques where appropriate to accelerate pattern identification and scenario evaluation while validating outputs and preserving accountable human judgment.
• Regulated Excellence
• Quality Controls: Validate analytical methods, outputs, and assumptions through repeatable checks, documentation, and peer review practices that strengthen accuracy and trust.
• Compliance Alignment: Conduct data science work with disciplined attention to privacy, patient safety, documentation, and applicable controls within regulated 503A and 503B operations.
• Process Improvement: Identify recurring analytical bottlenecks, improve reusable methods and workflows, and share practical knowledge that increases team consistency, speed, and analytical maturity.
• Strong statistical reasoning, experimental design, predictive modeling, and analytical validation skills, with sound judgment in selecting methods appropriate to business questions.
• Ability to prepare, assess, and interpret complex datasets while maintaining data quality, traceability, privacy, and documentation standards in regulated operations.
• Clear communication skills for translating technical findings, uncertainty, and tradeoffs into practical recommendations for cross-functional partners with varied analytical backgrounds.
• Working knowledge of AI-enabled analytical techniques for pattern identification or scenario evaluation, including validation practices that preserve transparent and accountable decision-making.
• Minimum 5 years experience applying data science, statistical analysis, or predictive modeling to complex business problems with measurable outcomes and documented analytical rigor.
• Practical experience preparing data, evaluating model performance, testing hypotheses, and communicating findings to stakeholders who use analysis to make operational decisions.
• Bachelor’s degree in a quantitative or related discipline, or an equivalent combination of education and practical experience demonstrating comparable analytical capability.
• Experience working in a regulated, quality-sensitive, or operationally complex environment where analytical accuracy, documentation, privacy, and sound judgment materially affect outcomes.
• Experience partnering across business and technical functions to translate ambiguous questions into structured analyses, reusable methods, and decision-ready recommendations.
• Customer Focus: Builds trust through customer-centric solutions.
• Strategic AI: Guides responsible AI adoption and adaptation.

None flagged.