Note: The job is a remote job and is open to candidates in USA. Empower Pharmacy is a healthcare company focused on accessible medication, personalized medicine, and pharmaceutical manufacturing. The Data Scientist translates complex enterprise data into decision-ready intelligence, develops and validates statistical and predictive models, designs experiments, and delivers actionable insights while maintaining privacy, compliance, patient safety, and human accountability.
Responsibilities
- **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
- **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
- **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
Skills
- 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
- Deep technical expertise in Python, SQL, experimentation, causal inference, forecasting, optimization, KPI and measurement framework design, decision-support analytics, and modern data platforms such as Snowflake, AWS, and Microsoft Azure
- While performing the responsibilities of the job, the employee is required to talk and hear
- The employee is often required to remain in a stationary position for a significant portion of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices
- Employees are regularly required to move about the office and around the corporate campus
- The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- 401(k) matching
- Wellness perks
- IV therapy
- Compounded medications
Company Overview
Company H1B Sponsorship