Data Scientist – Marketing & Sales Measurement

Guardant Health•Palo Alto, CA

1d•Hybrid

About The Position

Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012, Guardant® is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests, real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early-stage cancer, and treatment selection for patients with advanced cancer. The company is seeking a highly analytical and business-oriented Data Scientist – Marketing & Sales Measurement to support the Guardant Shield screening business. This role will lead the design, development, and implementation of advanced analytics frameworks to measure marketing effectiveness, optimize commercial investments, and drive sales force performance. This individual will partner closely with Marketing, Sales, Commercial Operations, Finance, and Leadership to deliver actionable insights that inform strategy, resource allocation, and performance optimization. The ideal candidate combines strong statistical rigor with practical business judgment and experience in healthcare, diagnostics, or pharmaceutical commercial analytics.

Requirements

PhD or MS in Statistics, Economics, Biostatistics, Data Science, Applied Mathematics, or related quantitative field.
4+ years (MS) or 2+ years (PhD) of relevant industry experience in marketing analytics, commercial analytics, or sales measurement.
Proficiency in Python and/or R; strong SQL skills.
Experience working with large, complex healthcare or commercial datasets.
Ability to communicate complex analytical findings to non-technical stakeholders.

Nice To Haves

Experience in diagnostics, medtech, biotech, pharmaceutical, or healthcare services.
Familiarity with screening markets or population health analytics.
Experience with CRM data (e.g., Veeva, Salesforce), media data, and claims datasets.
Knowledge of territory alignment and sales force effectiveness analytics.
Experience building dashboards in Tableau, Power BI, or similar tools.

Responsibilities

Design and implement robust marketing measurement frameworks, including: Marketing Mix Modeling (MMM), Multi-touch attribution (MTA), Incrementality testing (A/B, geo-experiments), Media and channel ROI analysis.
Quantify impact of omnichannel campaigns across HCP and patient audiences.
Develop methodologies to measure awareness, engagement, conversion, and downstream screening uptake.
Partner with Marketing to optimize channel mix, targeting, budget allocation, and campaign strategy.
Establish standardized KPIs and dashboards for ongoing performance tracking.
Develop analytical frameworks to measure sales force performance and promotional effectiveness.
Assess impact of field activities (calls, programs, events) on screening adoption and ordering behavior.
Build models to: Optimize territory design and alignment, Evaluate call plan effectiveness, Identify opportunity gaps and growth levers.
Conduct causal and quasi-experimental analyses to assess incremental lift from sales initiatives.
Build predictive models to forecast screening volume, adoption trends, and territory performance.
Develop segmentation and targeting models for providers and accounts.
Apply causal inference techniques to isolate incremental impact of commercial investments.
Integrate data from CRM (e.g., Veeva/SFDC), claims, lab, marketing platforms, and third-party datasets.
Ensure methodological rigor and statistical validity in all analyses.
Translate complex analyses into clear, executive-ready insights and recommendations.
Serve as a strategic thought partner to Marketing and Sales leadership.
Collaborate with Data Engineering and BI teams to ensure scalable, production-ready solutions.