PandaDoc
Senior GTM Data Scientist
Remote (USA) · Senior
Sponsorship not specified$24k-$29kDetected 6 days ago
PythonSnowflakeDatabricksMachine Learningscikit-learnPandasNumPyAirflowdbtData EngineeringData ScienceStatisticsA/B TestingForecastingCustomer SuccessLeadershipCommunicationCollaboration
About the role
- You will apply analytical rigor and methodologies like experimentation and causal inference to provide GTM leadership with a reliable understanding of business efficiency and impact.
Responsibilities
- 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.
- Marketing Mix Modeling (MMM): Support the interpretation of MMM results to help maximize marketing ROI and assess the feasibility of future in-house modeling.
- Data Advocacy: Translate complex statistical findings and model outputs into compelling business narratives for cross-functional partners.
Requirements
- 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.
- Thrive in Ambiguity: Ability to translate complex business questions into clear analytical frameworks while managing multiple competing priorities.
- Proficiency in statistical methodologies for A/B testing, including sample size calculations, sequential testing, and variance reduction techniques.
- Ability to translate complex business questions into clear analytical frameworks while managing multiple competing priorities.
Nice to have
- 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
- Experience with tools like dbt, Airflow, Databricks, or Snowflake is a strong plus.
- Experience in a SaaS domain and a strong focus on supporting Sales, Marketing, or Customer Success data needs are highly preferred.
- Data Pipelining: Experience with tools like dbt, Airflow, Databricks, or Snowflake is a strong plus.
- Domain Expertise: Experience in a SaaS domain and a strong focus on supporting Sales, Marketing, or Customer Success data needs are highly preferred.
Skills
- Advanced proficiency in Python or R (specifically Scikit-Learn, pandas, numpy) and expert-level SQL.
Compensation
- Competitive salary (If you are located in Poland the salary range is 24,000 to 29,000 PLN gross per month)
- The annual compensation for this role is up to $185k.
Benefits
- Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline.
- Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
Company info
- We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
- Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
- Check out our LinkedIn to learn more.
- PandaDoc is an Equal Opportunity Employer.
- We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
Equal opportunity
- Equal Opportunity Employer.
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