Job Description

This role will be fully remote 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

The Marketplace team is responsible for all levers that power and drive Dolly’s business with the overarching objective of matching supply and demand at the right price. Living at the intersection between Dolly’s core software products/engineering and business functions, the heart of the Marketplace team is Dolly’s data. As Senior Data Scientist you will own ongoing experimentation and development of Dolly’s most critical algorithms including broadcast, assignment, pricing, and payment.

This role reports to the Director of Marketplace Analytics.

What You'll Work On:

• Lead the development and deployment of advanced machine learning models to optimize job matching, price, pay, supply acquisition, activation and other critical business outcomes.
• Deploy and manage production machine learning models.
• Design and implement experiments to test hypotheses, assess causal impact, and measure the success of new features and initiatives.

Your Areas Of Expertise:

• Expertise in at least one programming language used for data analysis (eg Python, R) (7 years)
• Expertise in machine learning, statistical analysis, and predictive modeling (5 years)
• Expertise in SQL (5 years)
• Expertise in experimental design and A/B testing (5 years)
• Expertise in quasi-experimental design and causal inference (5 years)

• Experience in data visualization and dashboard tooling (3 years)
• Experience with dbt (3 years)
• Familiarity with git (2 years)

Compensation & Benefits:

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 $114,000. - $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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