Hybrid Data Scientist: Drive Strategy with Data

Retool; San Francisco (CA); Hybrid; USD 183,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Job summary

Retool is seeking a Data Scientist to join the Data Science & Analytics team. You’ll help Retool make better, faster decisions at scale by analyzing behavior, product usage, and business performance to surface insights tied to core metrics like ARR, retention, and sales efficiency.

This generalist role requires comfort in ambiguity, strong collaboration across Product, GTM, and Leadership, and a track record of turning data into strategy and action.

Qualifications

• 5+ years of experience in data science and/or product analytics.
• Experience in startup or high-growth environments, especially B2B SaaS.
• Strong SQL proficiency with an eye for writing performant, robust queries.
• Comfort operating in ambiguity and proactively identifying and defining business problems.
• Experience helping teams shift from intuition-driven to data-informed decision-making.

Responsibilities

• Analyze customer behavior, product usage, and business performance to surface insights tied to core metrics like ARR, retention, and sales efficiency.
• Frame ambiguous business questions into clear analytical approaches and recommendations.
• Build models, frameworks, and narratives that influence strategy, prioritization, and tradeoffs.
• Identify customer friction and risk early—and help teams act before issues escalated.
• Enable teams to self-serve on foundational analytics so you can stay focused on higher-impact work.

Skills

SQL proficiency

Data storytelling

Ambiguity tolerance

Cross-functional collaboration

Forecasting / predictive modeling

5+ years in data science

Education

Bachelor's degree in a quantitative field

Tools

SQL

Job description

Retool is seeking a Data Scientist to join the Data Science & Analytics team. You’ll help Retool make better, faster decisions at scale by analyzing behavior, product usage, and business performance to surface insights tied to core metrics like ARR, retention, and sales efficiency.

This generalist role requires comfort in ambiguity, strong collaboration across Product, GTM, and Leadership, and a track record of turning data into strategy and action.