JPA Health is looking for a Data Scientist, Marketing Analytics to transform omnichannel marketing data into models, dashboards, and insights that fuel behavior change and optimize life sciences marketing programs.
Requirements
- Hands-on coding experience for data wrangling, analysis, and statistical modeling, including version control and code review practices, including working familiarity with Python, R or SQL.
- Strong grasp of experimental design, statistical inference, and causal thinking; able to communicate assumptions and limitations clearly.
- Experience building automated dashboards and reports; adept at data visualization and storytelling using tools like Tableau and PowerBI.
- Familiarity with omnichannel datasets and measurements across paid, owned, and earned media.
- Comfortable working with imperfect data and designing solutions that scale.
- Experience with privacy-aware measurement techniques and working within regulated industries, especially life sciences.
Responsibilities
- Design and implement data pipelines to ingest, transform, and QA multi-source marketing data (paid, owned, earned, CRM, web, email, social, events, qualitative).
- Build statistical models (e.g., regression, classification, forecasting, clustering) to identify performance drivers, segment audiences, and predict outcomes.
- Develop fit-for-purpose marketing attribution and contribution approaches based on available data; quantify incrementality where feasible.
- Create dashboards and automated reporting that translate complex results into simple, visual stories for technical and non-technical stakeholders.
- Plan and analyze A/B and multivariate tests; estimate impact and uncertainty; recommend next-best actions and channel allocations.
- Partner with engagement specialists and performance analytics teams to translate insights into channel, message, and audience optimizations throughout the campaign lifecycle.
- Document methods, code, and data dictionaries; champion data quality, reproducibility, and privacy-aware measurement.
Other
- 3–5 years in life sciences marketing analytics, data science, or a related role within an agency or in-house team.
- Excellent communication skills; client-facing presence; collaborative approach with cross-functional partners.
- This position is a full-time, hybrid role reporting to any JPA office (i.e., Boston, Washington, DC, Philadelphia, New York City) 2 days per week and working remotely 3 days per week.
- Bachelor’s degree in a quantitative field (e.g., statistics, mathematics, economics, engineering) or equivalent experience.
