Data Scientist developing machine - learning models for The Athletic’s sports media platform. Optimizing subscriptions, workflows, experiments, and personalized article recommendations.
About the role
- Data Scientist supporting data-driven business decisions at Thumbtack. Conducting research and collaborating across teams for insightful analysis while leveraging technical skills.
Responsibilities
- Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team
- Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientist, and economists
- Partner with product managers, engineers, etc. to help scope new features, e.g., scenario modeling for possible impact on key metrics, make recommendations on business logic of new features, etc.
- Define and monitor key metrics; investigate changes in metrics and propose next steps
- Develop topic area expertise, e.g., develop a deep understanding of how Thumbtack search works and interacts with other systems
- Contribute to our team and company data culture through accessible data table design and maintenance
- Collaborate with, mentor, and help recruit team members
Requirements
- 4+ years of experience in data science, analytics or economics
- Experience managing stakeholders with competing priorities in areas such as Product Management, Design, Engineering and Marketing
- Experience scoping, analyzing, and communicating results of experiments
- Expert in SQL
- Strong communication skills and ability to build strong relationships cross-functionally and with leadership
- Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Engineering, Analytics, Math, Computer Science, Operations Research, Economics
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