Senior GTM Data Scientist
New
P
PandaDocSaaS
Remote (USA); Hybrid option in Kyiv, Warsaw, Lisbon; Poland salary range provided., EU time zonesFull-TimeSenior
SalaryThe annual OTE for this role is up to $185k.
Apply NowOpens the employer's application page
Job Details
- Experience
- 4+ years of professional experience
- Required Skills
- PythonSQLMachine LearningSaaSA/B testingR
Requirements
- 4+ years of professional experience in applied data science, economics, or GTM analytics.
- Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.
- Demonstrated experience building and validating production-ready ML models for business applications.
- Practical application of Causal Inference methods like quasi-experimentation and matching methods.
- Proficiency in statistical methodologies for A/B testing and experiment design.
- Advanced proficiency in Python or R (Scikit-Learn, pandas, numpy) and expert-level SQL.
- Strong data storytelling skills to influence cross-functional partners.
- Ability to manage multiple competing priorities in ambiguous environments.
- Experience in SaaS domain and GTM analytics strongly preferred.
- Master’s degree preferred.
Responsibilities
- Design, build, and deploy foundational GTM models including LTV forecasting, attribution, and propensity models.
- Partner with GTM teams to design and analyze controlled experiments across multiple channels.
- Execute analytical deep dives to uncover user behavior and root causes of metric fluctuations.
- Support the interpretation of Marketing Mix Modeling (MMM) results.
- Define and govern a unified KPI framework mapping GTM activities to business outcomes.
- Collaborate with Data Engineering to ensure data quality and develop reusable predictive assets.
- Provide technical guidance to stakeholders on ML modeling and causal methodologies.
View Full Description & ApplyYou'll be redirected to the employer's site
