Senior GTM Data Scientist (SaaS)

TL;DR

Senior GTM Data Scientist (SaaS): Designing and deploying predictive ML models to optimize customer acquisition, revenue attribution, and retention with an accent on LTV forecasting, propensity modeling, and causal inference. Focus on building production-ready models and designing controlled experiments to drive measurable GTM business impact.

Location: Remote (USA). Option for hybrid work from offices in Kyiv, Warsaw, and Lisbon. Work schedule aligned with EU time zones.

Salary: Annual OTE up to $185,000 (Poland: 24,000–29,000 PLN gross/month)

Company

hirify.global is a growing SaaS company providing document automation solutions.

What you will do

• Design and deploy GTM models including LTV forecasting, attribution, and propensity models
• Partner with GTM teams to design and analyze A/B tests and causal inference experiments
• Execute complex analytical deep dives to discover latent user behavior and root causes of metric changes
• 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

Requirements

• 4+ years of professional experience in applied data science, economics, or GTM analytics
• B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field
• Advanced proficiency in Python or R (Scikit-Learn, pandas, numpy) and expert-level SQL
• Proven experience building and validating production-ready ML models for business applications
• Practical application of Causal Inference methods and statistical methodologies for A/B testing
• Based in the USA or capable of aligning with EU time zones

Nice to have

• Master's degree in a quantitative discipline
• Experience with dbt, Airflow, Databricks, or Snowflake
• Domain expertise in SaaS supporting Sales, Marketing, or Customer Success

Culture & Benefits

• Remote-first approach with hybrid office options in Kyiv, Warsaw, and Lisbon
• Flexible engagement models including typical employment, EoR, or B2B contracts
• Strong emphasis on work-life balance and collaborative team culture
• Professional and personal development opportunities within a supportive environment
• Stable yet growing SaaS product with an agile, startup-energy atmosphere