Director of Data Science and Machine Learning

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more.

At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love.

Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.

• Taskrabbit is a remote-first company with employees distributed across the US and EU
• 5-time Best Places to Work in 2022 by BuiltIn. Including Best Companies in SF, Best Mid-Sized Companies, and Best Benefits
• DataBird journal's "Best Places" Best Companies for Diversity, #1 2019 and 2020
• DataBird journal's "Best Places" Best Companies for Women, #4 2019 and #1 2020

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:

We are seeking a highly skilled and strategic Director to lead our Machine Learning, Data Science, and Product Analytics teams. This role is critical in driving data-powered insights and innovation to enhance our Product performance, user experience, and overall business growth. The Director will work cross-functionally with the Machine Learning Platform team, Product Management, Engineering, Data Engineering, and other teams to develop and optimize the models that will power and grow our marketplace, optimize product analytics, and provide actionable data insights to the business.

We're looking for someone with expertise in Machine Learning and/or Data Science who has led both teams, with a healthy balance and perspective on how the 2 disciplines can best work together to optimize for time to market and business outcome delivery. This role is ideal for someone who loves a mix of hands-on technical leadership and long term strategic thinking. Ideally you thrive in a fast-paced, innovative environment and are passionate about leveraging and optimizing machine learning and data science together to shape the future of taskrabbit in pursuit of our long term Mission and Vision.

What you'll work on:

Team Leadership & Strategy:

• Lead, mentor, and grow a high-performing team of machine learning engineers, data scientists, and product analysts.
• Define and execute the strategic vision for data science, machine learning, and product analytics in alignment with overall company goals, ensuring there are clear roles and responsibilities for each team.
• Foster a collaborative culture across the team and ensure alignment with engineering and product teams on priorities and roadmaps.
• Deliver outcomes and manage timelines, balancing long-term strategic goals with immediate operational needs.
• Be the connective tissue between the function and company leadership, being an advocate for ML and DS and the value they drive.
• Technical leadership for the team.

Machine Learning & Data Science:

• Oversee management and development of all new and existing DS and ML models that power our offering to ensure this is a strategic differentiator for Taskrabbit and a core competency
• Partner with Data Engineering and the ML Platform team on the design and deployment of scalable ML infrastructure and algorithms in production environments.
• Leverage advanced data science techniques to derive insights that drive business decisions and product enhancements.
• Ensure ML and DS efforts are highly aligned with Product Priorities and planned together.
• Work with both teams to ensure the ROI of the team's efforts are high and that their time and focus is matched to the value of the outcomes and balanced with time to value.

Product Analytics:

• Provide direction and strategy to help establish a recently created function within Taskrabbit.
• Ensure we have the product analytics framework to evaluate the performance of key product features and user behaviors for all sides of the taskrabbit marketplace. ● Ensure that Product Analytics leads the creation and dissemination of product insights, KPIs, and data-driven recommendations to improve product performance and user experience.
• Partner with other leaders across Engineering, Design, Data and Product (EDDP) to build a more data driven culture. Including access to data, training & education and a self-serve environment for analysis and visualization.

Cross-functional Collaboration:

• Work closely with EDDP, Business Intelligence and Marketplace dynamics to embed data-driven decision-making across the organization.
• Collaborate with stakeholders to identify new opportunities for leveraging data and machine learning to improve marketplace outcomes.
• Communicate findings and recommendations to senior leadership and other non-technical stakeholders.

Your Areas Of Expertise:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. A PhD is a plus.
• 8+ years of experience in machine learning, data science, and/or product analytics roles, with at least 3-5 years in a leadership capacity.
• Proven track record of deploying high performance machine learning models at scale in a production environment.
• Strong expertise in statistical analysis, machine learning algorithms, and data manipulation.
• Proficiency in programming languages such as Python, R, and SQL, along with experience using ML frameworks.
• Ability to translate complex data and technical concepts into business insights and actionable recommendations.
• Strong leadership skills with the ability to mentor and inspire teams.
• Excellent communication skills, both written and verbal, with the ability to engage and influence stakeholders at all levels.

Preferred Experience:

• Previous experience in a marketplace or e-commerce company.
• Experience in leading teams in a hybrid or remote environment.
• Experience in Search and Recommendations.

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 $181,000 - $252,000 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.

• Taskrabbit is a Remote-First Company. We value flexibility and choice but also stay committed to regular in-person connection.
• The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with
• The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.
• The Perks. Taskrabbit offers US employees employer-paid health insurance and a 401k match with immediate vesting. Taskrabbit offers EU employees medical insurance. We offer all of our global employees, generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment.

An Active Commitment to Equity within our Company and Platform.

We are an inclusive community where all who share our mission and values belong. Our anti-racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.

Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.

Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.