Senior Data Scientist
Senior Data Scientist partnering with Product, Marketing, and CX to analyze customer behavior, design experiments, and build models that drive product and business decisions in a B2B SaaS environment.
Senior Data Scientist, Marketing
Embedded Data Scientist supporting Acquisition Marketing to measure, optimize, and scale patient acquisition efforts through attribution, experimentation, and performance analytics. Requires 3+ years in marketing analytics and proficiency in SQL/Python/R.
140k – 180kNew York, NYData ScienceHybrid3+ YOE
About the role
Responsibilities
- Lead statistical design and analysis of marketing attribution and incrementality studies to quantify impact and efficiency of marketing investments.
- Design and interpret rigorous experiments (geo tests, conversion lift studies) with Marketing and Product teams to measure campaign impact and optimize funnel conversion points.
- Partner with Marketing channel owners to identify optimization opportunities across advertising platforms (SEM, Influencer, Offline) to improve efficiency and maximize ROI.
- Evaluate engagement and retention across lifecycle touchpoints (email, push, SMS) to improve patient activation and retention.
- Analyze and report on performance of paid marketing and CRM channels; identify trends and recommend optimizations.
- Collaborate with Analytics Engineering and Data Engineering to build and operationalize core marketing performance data assets and dashboards.
- Create clear, compelling presentations, dashboards, insights, and recommendations that influence strategic marketing decisions.
Requirements
- 3+ years of experience in marketing data science, marketing analytics, or growth analytics roles.
- Experience with marketing attribution, experimentation, or incrementality testing.
- Strong analytical and statistical skills with proficiency in SQL and/or Python or R.
- Foundational understanding of key statistical concepts, including experimentation and basic predictive modeling.
- Experience partnering closely with Marketing, Finance, and Product stakeholders to measure and optimize performance.
- Ability to translate complex quantitative findings into business-relevant insights.
- High attention to detail and ability to sense-check results for accuracy.
- Detail-oriented, proactive, and thrive in a fast-paced, data-driven environment.
Nice-to-Haves
- Experience building and operationalizing marketing performance data assets and dashboards.
Skills
SQLPythonRMarketing AttributionIncrementality TestingExperimentationPredictive ModelingData AnalysisDashboardingStatistical Analysis
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