Senior Data Scientist

Role overview A senior individual contributor role embedded in a B2B SaaS messaging platform, partnering with Product, Marketing, and Customer Experience teams to turn behavioral data into clear business direction. The work spans experimentation, customer-lifecycle analysis, and applied machine learning to influence roadmap decisions and improve how customers adopt and stay engaged with the product.

Responsibilities - Analyze behavioral patterns across the customer lifecycle to surface usage archetypes, trends, and opportunities that improve adoption, engagement, and retention. - Design and run experiments and measurement frameworks that evaluate product and marketing changes, helping teams make evidence-based decisions. - Build models, datasets, and segmentation approaches that support forecasting, customer grouping, and trend identification. - Apply machine learning and AI techniques to practical problems, both for internal decision-making and customer-facing scenarios. - Partner with Data Engineering to improve the quality, reliability, and accessibility of core data assets and metrics. - Translate complex analyses into clear, actionable recommendations for PMs, marketers, executives, and non-technical stakeholders.

Requirements - 5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment. - Strong foundation in statistics, experimentation design, and behavioral analytics applied to real product problems. - Proficiency in SQL and Python for large-scale analysis, modeling, and exploration. - Experience with modern cloud data platforms such as Snowflake or BigQuery; familiarity with dbt is a plus. - Demonstrated ability to communicate complex analysis clearly to product, marketing, and executive audiences. - Ownership mindset with the ability to define problems and drive work forward without waiting for perfect specifications.

Benefits and work setup - Starting salary of $140,000-$150,000 USD (or local-currency equivalent), subject to market rate adjustment. - 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for employees and their families. - 16 weeks of paid parental leave and unlimited PTO. - Stipends for remote work and wellness, plus a professional development budget.