# Senior Data Scientist - GTM Data
**Company:** [PandaDoc](https://hotfix.jobs/companies/pandadoc)
**Location:** Remote
**Salary:** $165K-$185K
**Experience:** 4+ years
**Skills:** Python, R, scikit-learn, pandas, NumPy, SQL, Machine Learning, Causal Inference, A/B Testing, dbt, Airflow, Databricks, Snowflake
**Posted:** 2026-05-11
> Builds and deploys predictive ML models (LTV, attribution, propensity) for GTM optimization, designs experiments, and analyzes metrics to drive Sales, Marketing, and Customer Success impact. Requires 4+ years experience, Python/SQL proficiency, and causal inference expertise.
## Job Description
## What You'll Do

### Predictive Modeling & GTM Strategy
- **Model Development**: Design, build, and deploy foundational GTM models, including Customer Lifetime Value (LTV) forecasting, Marketing and Sales Attribution, and Propensity models (e.g., propensity to convert, churn, or expand).
- **GTM Experimentation**: Partner with GTM teams to design and analyze controlled experiments across various channels, including website A/B testing, pricing experiments, and marketing campaign effectiveness. Use methodologies such as AB, multivariate, Bayesian, and Causal Inference.
- **Deep Dive Analysis**: Execute proactive, complex analytical deep dives to discover latent user behavior and root causes of changes in GTM metrics, translating findings into actionable recommendations.
- **Marketing Mix Modeling (MMM)**: Support the interpretation of MMM results to help maximize marketing ROI and assess the feasibility of future in-house modeling.

### Measurement & Technical Rigor
- **Measurement Frameworks**: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps GTM activities (e.g., CAC, Funnel conversion, Retention) to high-level business outcomes.
- **Data Advocacy**: Translate complex statistical findings and model outputs into compelling business narratives for cross-functional partners.
- **Data Partnership**: Work closely with Data Engineering to ensure data quality, reliable instrumentation, and the development of reusable predictive assets like model feature stores.
- **Guidance**: Provide technical guidance to peers and stakeholders on best practices for data exploration, ML modeling, and causal methodologies.

## About You

### Qualifications
- **Experience**: 4+ years of professional experience in an applied data science, economics, or GTM analytics role, with a proven track record of leveraging predictive modeling and experimentation to drive measurable business impact.
- **Education**: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree is preferred, but not required.

### Technical Expertise
- **Machine Learning**: Demonstrated experience in building and validating production-ready models for business applications (LTV, Attribution, Propensity).
- **Causal Inference**: Practical application of Causal Inference methods, such as Quasi-Experimentation, Matching Methods (PSM), and Difference-in-Differences.
- **Experimentation**: Proficiency in statistical methodologies for A/B testing, including sample size calculations, sequential testing, and variance reduction techniques.
- **Programming & Tools**: Advanced proficiency in Python or R (specifically Scikit-Learn, pandas, numpy) and expert-level SQL.
- **Data Pipelining**: Experience with tools like dbt, Airflow, Databricks, or Snowflake is a strong plus.

### Key Attributes
- **Strategic Communication**: Strong data storytelling skills with the ability to influence cross-functional partners and drive consensus in ambiguous environments.
- **Thrive in Ambiguity**: Ability to translate complex business questions into clear analytical frameworks while managing multiple competing priorities.
- **Domain Expertise**: Experience in a SaaS domain and a strong focus on supporting Sales, Marketing, or Customer Success data needs are highly preferred. Experience building LTV, attribution, and propensity models is strongly preferred.

## Benefits
- Annual base salary up to **$165,000-$185,000**.
- Tremendous career growth opportunities, competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans.
**Apply:** https://hotfix.jobs/jobs/senior-data-scientist-gtm-data-at-pandadoc-0f07b605-6197-41eb-baf2-1c1906c58da3
**Canonical:** https://hotfix.jobs/jobs/senior-data-scientist-gtm-data-at-pandadoc-0f07b605-6197-41eb-baf2-1c1906c58da3