Senior Data Scientist
The Senior Data Scientist will build scalable product analytics assets, measurement frameworks, and AI-assisted analytical workflows while partnering with cross-functional teams to guide product and business decisions. The role requires 4+ years of applied data experience and strong SQL, programming, statistics, machine learning, and experimentation skills.
About the job
Responsibilities
- Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure.
- Leverage AI-powered analytics tools and data agents, such as Snowflake Cortex, to accelerate insight generation, automate repeatable analysis, and scale decision-making.
- Define and evolve measurement frameworks for product health, customer lifecycle, and AI-powered product experiences.
- Partner with Product, Engineering, Design, and Customer Success to influence product strategy through data.
- Help define analytics strategy and AI measurement practices as the product and data platform evolve.
- Lead executive analytics reviews, translating complex analyses into clear recommendations that drive company decisions.
Requirements
- 4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting.
- Strong foundation in SQL, Python or R, statistics, and machine learning.
- Experience designing and evaluating experiments, predictive models, and other statistical analyses to inform product decisions.
- Experience building scalable data assets, metrics, and analytical frameworks on modern cloud data platforms such as Snowflake and dbt.
- Deep experience with data visualization.
- Experience using modern AI-assisted analytics tools or LLM-powered workflows to accelerate analysis and improve decision-making.
- Deep understanding of product analytics, customer behavior, and B2B SaaS growth metrics.
- Experience partnering with Product, Engineering, Design, and Customer Success throughout the product lifecycle.
- Ability to translate ambiguous business problems into meaningful analytical frameworks and actionable recommendations.
- Passion for building reusable analytical systems that increase organizational leverage rather than one-off analyses.
- Curiosity, willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.
Compensation and Benefits
- Industry-competitive salary and equity.
- Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans.
- 16 weeks of paid parental leave for all new parents.
- Health and wellness stipend.
- Remote workspace, internet, and cellphone stipend.
- Commuter benefits for team members who report to the San Francisco and New York City offices.
- Family planning benefits.
- Matching 401(k) contribution with immediate vesting.
- Flexible PTO policy, plus 80 hours of sick time.
- 11 company-paid holidays.
- Virtual team-building activities, lunch-and-learns, and other company-wide events.
Skills
SQL, Python, R, Statistics, Machine Learning, dbt, Snowflake, Snowflake Cortex, Data Visualization, Product Analytics, Predictive Modeling, A/B Testing, Llm Workflows, B2B Saas Metrics
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