Staff Data Scientist - Product Analytics

About the role

This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.

Responsibilities

• Work hand-in-hand with product managers, designers, and engineers to frame key questions, define metrics, and develop hypotheses that guide product strategy.
• Analyze user behavior and product usage data to uncover friction points and areas for improvement in contract management workflows.
• Design and run experiments to test new features and optimizations, providing clear, actionable insights that inform prioritization and iteration.
• Build dashboards and self-serve reporting tools that empower product teams to monitor performance and make timely, data-informed decisions.
• Foster a collaborative environment where data is accessible and integral to the product development, helping teams move confidently from ideas to impact.
• Identify and implement Generative AI solutions to automate internal data workflows, such as code generation, documentation, and routine reporting, to increase the team’s operational velocity.

Requirements

• 8+ years of experience as a Data Scientist in the Product Analytics space.
• Advanced proficiency in SQL & Python.
• Familiarity with the tools in our stack (BigQuery, dbt, Looker/Tableau) is preferred.
• A naturally inquisitive, critical thinker who enjoys and is effective at solving problems.
• Demonstrated self-starter with strong communication and project management skills.

Qualifications

• Master's degree in Computer Science, Statistics, Data Science, or related field.
• Experience with machine learning and statistical modeling.
• Experience with data warehousing and ETL processes.
• Experience with data visualization tools like Tableau or Looker.

Skills

• Data analysis and interpretation.
• SQL and Python programming.
• Experience with data warehousing and ETL processes.
• Experience with data visualization tools like Tableau or Looker.
• Experience with machine learning and statistical modeling.
• Collaboration and communication skills.
• Problem-solving and critical thinking skills.

Benefits

• Base Salary Range: $180,000 - $200,000
• Competitive health and wellness benefits.
• Regular team events to connect, recharge, and have fun.
• Opportunity to help build the company you want to work at.

Pay

• Compensation Range: $180K - $200K

Schedule

• Hybrid role with office attendance required at least twice a week on Tuesdays and Thursdays.