Full-Time

Director of Data Science and Machine Learning

Confirmed live in the last 24 hours

Taskrabbit

Taskrabbit

1,001-5,000 employees

Marketplace connecting clients with skilled Taskers

Consumer Goods

Compensation Overview

$181k - $252kAnnually

+ Bonus + Benefits + Perks

Senior

San Francisco, CA, USA

Fully remote until August 2025; hybrid model starting September 2025 with 2 days in-office.

Category
Applied Machine Learning
Data Science
AI & Machine Learning
Data Analysis
Data & Analytics
Required Skills
Python
Data Science
R
SQL
Requirements
  • 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.
Responsibilities
  • 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.
  • 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.
  • 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.
  • 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.

Taskrabbit connects clients with skilled individuals, called Taskers, who can help with various household and personal tasks. Clients can post tasks like cleaning, furniture assembly, and home repairs, while Taskers bid on these jobs, offering competitive rates. Taskrabbit earns revenue by charging a service fee on each completed task, which aligns its success with client and Tasker satisfaction. The platform is accessible through a website and mobile app, emphasizing same-day service for those needing immediate help. Taskrabbit also has a "Happiness Pledge" to ensure customer satisfaction, making it a reliable choice in the growing home services market.

Company Stage

Acquired

Total Funding

$36.6M

Headquarters

San Francisco, California

Founded

2008

Simplify Jobs

Simplify's Take

What believers are saying

  • Strategic partnerships with companies like Arcade1Up and Capri Sun expand Taskrabbit's market reach and service offerings.
  • The collaboration with Robinhood to offer retirement savings options for Taskers adds a unique value proposition for gig workers.
  • Taskrabbit's acquisition by IKEA provides strong financial backing and potential for global expansion.

What critics are saying

  • The gig economy's regulatory landscape is uncertain, which could impact Taskrabbit's business model and operations.
  • Past cybersecurity issues, such as the 2018 DDoS attack, highlight potential vulnerabilities in Taskrabbit's platform.

What makes Taskrabbit unique

  • Taskrabbit's focus on same-day service and a 'Happiness Pledge' sets it apart in the gig economy, ensuring immediate and reliable assistance.
  • The partnership with major brands like IKEA and Robinhood enhances Taskrabbit's visibility and credibility, distinguishing it from other gig platforms.
  • Taskrabbit's mobile app and user-friendly platform make it highly accessible, catering to the growing demand for convenience in home services.

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