Senior GTM Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, develop, and implement foundational GTM models, such as Customer Lifetime Value (LTV) forecasting, Marketing and Sales Attribution, and Propensity models.

• Collaborate with GTM teams to design and evaluate controlled experiments across multiple channels, including website A/B testing, pricing trials, and assessment of marketing campaign effectiveness.

• Conduct proactive, in-depth analytical investigations to uncover hidden user behaviors and the underlying causes of variations in GTM metrics, converting insights into actionable strategies.

• Assist in interpreting Marketing Mix Modeling (MMM) outcomes to optimize marketing ROI and evaluate the potential for future in-house modeling efforts.

• Establish, implement, and manage a cohesive Key Performance Indicator (KPI) framework that aligns GTM initiatives with overarching business objectives.

• Convert intricate statistical results and model outputs into engaging business narratives for cross-departmental collaboration.

• Collaborate closely with Data Engineering to ensure data integrity, dependable instrumentation, and the creation of reusable predictive assets such as model feature stores.

• Offer technical direction to colleagues and stakeholders regarding best practices in data exploration, ML modeling, and causal methodologies.

⛳️ Requirements

• Over 4 years of professional experience in applied data science, economics, or GTM analytics.

• A demonstrated history of utilizing predictive modeling and experimentation to achieve measurable business results.

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.

• Experience in developing and validating production-ready models for business applications (LTV, Attribution, Propensity).

• Hands-on experience with Causal Inference techniques, including Quasi-Experimentation, Matching Methods (PSM), and Difference-in-Differences.

• Expertise in statistical techniques for A/B testing, encompassing sample size calculations, sequential testing, and variance reduction strategies.

• Advanced skills in Python or R (particularly Scikit-Learn, pandas, numpy) and expert-level SQL proficiency.

• Familiarity with tools such as dbt, Airflow, Databricks, or Snowflake is a significant advantage.

• Experience in the SaaS sector with a strong emphasis on supporting Sales, Marketing, or Customer Success data requirements is highly desirable.

🏝️ Benefits

• Competitive salary (For individuals located in Poland, the salary range is 24,000 to 29,000 PLN gross per month).

• Remote-first work environment with the option for hybrid arrangements from our offices in Kyiv, Warsaw, and Lisbon.

• We prioritize long-term collaboration, whether through standard employment contracts, employment of record, or B2B agreements.

• Work hours aligned with EU time zones.

• A transparent and open culture that appreciates constructive feedback.

• Opportunities for professional and personal growth within a collaborative and supportive team.

• A stable yet expanding SaaS product that offers an agile environment, opportunities for ownership, start-up energy, and significant technical challenges.