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Senior Data Scientist – GTM Data
PandaDocSenior GTM Data Scientist at PandaDoc analyzing data to enhance sales, marketing, and customer success. Responsible for predictive modeling and experimentation while collaborating cross-functionally.
Tech Stack
Tools & technologiesAirflowPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain predictive machine learning models
- Partner with GTM teams to design and analyze controlled experiments
- Execute proactive, complex analytical deep dives to discover latent user behavior
- Support the interpretation of Marketing Mix Modeling results
- Define, instrument, and govern a unified Key Performance Indicator (KPI) framework
- Translate complex statistical findings and model outputs into compelling business narratives
- Work closely with Data Engineering to ensure data quality
- Provide technical guidance to peers and stakeholders
Requirements
What you’ll need- 4+ years of professional experience in an applied data science, economics, or GTM analytics role
- B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline
- demonstrated experience in building and validating production-ready models for business applications
- practical application of Causal Inference methods, such as Quasi-Experimentation, Matching Methods (PSM), and Difference-in-Differences
- proficiency in statistical methodologies for A/B testing
- advanced proficiency in Python or R and expert-level SQL
- experience with tools like dbt, Airflow, Databricks, or Snowflake is a strong plus
- strong data storytelling skills
Benefits
Comp & perks- tremendous career growth opportunities
- competitive salary
- health and commuter benefits
- company paid life & disability
- 20+ PTO days
- 401K and FSA plans
- a fun team of Pandas to work with!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
predictive machine learning modelsCausal Inference methodsQuasi-ExperimentationMatching MethodsDifference-in-DifferencesA/B testingPythonRSQLdata storytelling
Soft Skills
technical guidancecollaborationcommunicationanalytical thinkingproblem-solving