Data Scientist – Marketing & Sales Measurement

Guardant Health

Palo Alto, CA, USA
Base: $168,500 - $231,700 (pylo alto, ca); other u...
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Marketing mix modeling (mmm)
Multi-touch attribution (mta)
Incrementality testing
** Guardant Health is seeking a Data Scientist – Marketing & Sales Measurement to support their Guardant Shield screening business. The ideal candidate should possess strong analytical skills, experience in healthcare analytics, and proficiency in statistical programming, with a focus on optimizing marketing and sales performance. **

Job Summary

  • Guardant Health is seeking a Data Scientist to lead the design and implementation of advanced analytics frameworks for its Guardant Shield screening business.
  • The role requires quantifying the impact of omnichannel campaigns across HCP and patient audiences while optimizing channel mix and budget allocation.
  • Candidates must possess strong statistical rigor combined with practical business judgment and experience in healthcare or pharmaceutical commercial analytics.

Matching Summary

Match Score: 75

** Guardant Health is seeking a Data Scientist – Marketing & Sales Measurement to support their Guardant Shield screening business. The ideal candidate should possess strong analytical skills, experience in healthcare analytics, and proficiency in statistical programming, with a focus on optimizing marketing and sales performance. **

Salary

Base: $168,500 - $231,700 (Palo Alto, CA); Other US Locations: $143,225 - $196,945; Colorado: $151,650 - $208,530; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Marketing Mix Modeling (MMM)
  • Multi-touch attribution (MTA)
  • Incrementality testing
  • Python and/or R proficiency
  • Strong SQL skills
  • Causal inference techniques

Nice-to-have

  • Experience in diagnostics or medtech
  • Familiarity with Veeva or Salesforce CRM
  • Dashboard building in Tableau or Power BI
  • Knowledge of territory alignment analytics
  • Screening market experience

Key Requirements

  • PhD or MS in Statistics, Economics, Biostatistics, Data Science, or Applied Mathematics
  • 4+ years industry experience (MS) or 2+ years (PhD) in marketing or commercial analytics
  • Proficiency in Python, R, and SQL with large complex datasets

Work Rights

Not specified

Tailored Resume

Cover Letter