SR. DATA SCIENTIST, GROWTH

lwtsquad; San Francisco (CA); Remote; USD 115,000 - 160,000; Full time

Job summary

A leading company in the tech industry is seeking a highly skilled Data Scientist to join their growing Data Science and Analytics team. In this role, you will work closely with cross-functional teams to deliver data-driven insights to enhance products and accelerate business growth. Key responsibilities include analyzing user data, conducting A/B testing, and fostering a data-driven culture within the organization. The ideal candidate will have a strong quantitative background, excellent analytical skills, and proficiency in SQL and Python.

Qualifications

• Minimum of 5 years working experience in analytics.
• Strong product sense and independent project management.
• Ability to communicate complex findings clearly.

Responsibilities

• Identify growth opportunities in user acquisition and retention.
• Conduct hypothesis testing to optimize product features.
• Collaborate with teams to define success metrics.

Skills

Statistical analysis

A/B testing

Data analysis

Problem solving

Communication

Education

BS, MS or Ph.D. in a quantitative field

Tools

SQL

Python

Git

Job description

This role will be remote first with limited travel through August 2025 with the expectation that employees will begin working 2 days per week in our dedicated office space starting September 2025.

About the Role

Data Science and Analytics are the lifeblood of TaskRabbit, and we are scaling up the Data Science and Analytics team to provide key insights to drive our business forward. We are seeking a highly skilled and motivated Data Scientist to join us, working closely with cross-functional teams from product, engineering, marketing and business to provide data-driven insights and solutions that enhance our products and accelerate growth.

What you will work on

• Be a strategic thought partner with stakeholders from product, business and marketing to define high-impact analytical problems, and solve them using different analytical and statistical approaches with data.
• Proactively perform data exploration and analytical deep dives to identify growth opportunities in user acquisition, retention and conversion.
• Collaborate with stakeholders to define and measure success metrics for new features and products, conduct hypothesis testing (A / B testing, multivariate experiments, quasi-experimental design and causal inference) to optimize product features and user experiences, and provide data-driven recommendations for product improvements and innovations.
• Work closely with cross-functional teams to understand their data needs, and present findings and actionable insights in a clear and compelling manner.
• Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.
• Cultivate strong partnerships with cross-functional stakeholders from product, design, consumer research, engineering, business etc.

Who you are

• BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• A minimum of 5 years working experiences in analytics with strong product sense.
• Experience with A / B testing, experimentation, and statistical analysis.
• Excellent analytical and problem-solving skills.
• Advanced in SQL, fluent in Python, and familiar with data pipeline and git.
• A self-starter with the ability to work independently and drive your own projects.
• Ability to communicate complex data findings in a clear and concise manner.

At Taskrabbit, our approach to compensation is designed to be competitive, transparent and equitable. total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $115,000. - $160,000 This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above, and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

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Sr Data Scientist • San Francisco, CA, United States