Senior Data Scientist
Senior Data Scientist partnering with Product, Marketing, and CX to analyze customer behavior, design experiments, and build models that drive product and business decisions in a B2B SaaS environment.
About the job
What you'll do
- Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.
- Design experiments and measurement approaches to evaluate the impact of product and marketing changes - and help teams make decisions based on evidence rather than intuition.
- Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.
- Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.
- Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.
- Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.
What we're looking for
- 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, and behavioral analytics - with the ability to apply them pragmatically to real product and business problems.
- Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.
- Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.
- Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners.
- An ownership mindset - you help define the problem and move work forward; you don't wait for perfect requirements.
Compensation & Benefits
- Starting salary for this role is $140,000-$150,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.
- 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family.
- 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.
Skills
Python, SQL, Snowflake, BigQuery, dbt, Statistics, Experimentation, Machine Learning, Behavioral Analytics, Data Modeling
Similar jobs
Data Science jobs
Geneva Trading
Chicago, IL
Build and operate quantitative risk models, pricing tools, and real-time monitoring systems for futures trading while supporting live trading and applying AI techniques. The role requires 5+ years of quantitative, risk, or trading-systems experience, advanced Python skills, and strong futures-market knowledge.
Chime
San Francisco, CA
The Senior Data Scientist will measure and forecast organic growth across SEO, ASO, and content, designing incrementality tests and attribution frameworks to guide investment. Requires 5+ years of organic growth or marketing analytics experience, advanced SQL, Python or R, and strong experimentation skills.
Chime
San Francisco, CA
This role measures and forecasts referral-channel performance, develops attribution and incrementality frameworks, and guides campaign investment through experimentation, modeling, and dashboards. It requires 4+ years in referral, marketing, growth, or product analytics, advanced SQL, Python or R, and strong causal analysis experience.
Fora
New York, NY
Senior Data Scientist who will own growth forecasting, operating models, scenario analysis, and strategic planning for executive leadership. Requires 5+ years in business data science or analytics, advanced SQL, quantitative modeling, and experience with modern cloud data tools.
Fora
New York, NY
Senior data scientist leading marketing measurement, incrementality experiments, attribution, and growth modeling. The role partners with Growth leadership and requires 5+ years of relevant experience, advanced SQL, machine learning deployment, and modern cloud data-stack expertise.