Senior Data Scientist - GTM Data
New
P
PandaDocSaaS
Remote (USA)Full-TimeSenior
Salary165,000 - 185,000 USD per year
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Job Details
- Experience
- 4+ years of professional experience
- Required Skills
- PythonSQLMachine LearningPandasA/B testingRscikit-learn
Requirements
- 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 building and validating production-ready models (LTV, Attribution, Propensity).
- 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 (sample size, sequential testing, variance reduction).
- Advanced proficiency in Python or R (Scikit-Learn, pandas, numpy).
- Expert-level SQL.
- Experience with tools like dbt, Airflow, Databricks, or Snowflake is a plus.
- Strong data storytelling and communication skills.
- Ability to thrive in ambiguity and manage competing priorities.
- Experience in a SaaS domain and supporting Sales, Marketing, or Customer Success data needs is preferred.
Responsibilities
- Design, build, and deploy foundational GTM models, including LTV forecasting, Marketing and Sales Attribution, and propensity models.
- Partner with GTM teams to design and analyze controlled experiments, including A/B testing and pricing experiments.
- Execute analytical deep dives to uncover user behavior and root causes of metric changes.
- Support the interpretation of Marketing Mix Modeling (MMM) to maximize ROI.
- Define and govern a unified KPI framework mapping GTM activities to business outcomes.
- Translate statistical findings into business narratives for cross-functional partners.
- Collaborate with Data Engineering to ensure data quality and reusable model assets.
- Provide technical guidance on ML modeling and causal methodologies.
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