Senior Data Scientist
Thumbtack
Job highlights
Summary
Join Thumbtack's Data Science team as a Senior Data Scientist and partner with product and operations leaders to shape the Commercial Strategy team's strategy. You will conduct in-depth quantitative analyses, design and implement A/B tests, make data-driven recommendations, build and maintain reports and visualizations, and identify key business drivers. This role requires strong analytical skills, experience with SQL and data visualization tools, and excellent communication abilities. The position offers a virtual-first work model, competitive salary, and various benefits. You will work with a tight-knit team committed to improving Thumbtack and supporting each other. The ideal candidate possesses a passion for using data to drive business impact and a proven ability to work independently and collaboratively.
Requirements
- BA/BS degree, preferably in Economics, Statistics, Math, or Computer Science
- 3+ years in analytics, data science, or economics
- Passion for using data to drive business impact in an operational environment, including running A/B experiments and applying causal analysis techniques to business process data
- Strong written and verbal communication skills: this role will require writing content and explaining results to internal and external audiences
- Strong experience using SQL to query large datasets, proficiency with data visualization software (e.g., Tableau, Looker), and familiarity with statistics/programming languages (e.g., R, Python)
- Ability to detect and debug data anomalies in complex operational processes and a track record of working with business leaders to drive improvements and efficiencies
- Demonstrated ability to self-motivate and drive projects independently as well as partner successfully with cross-functional teams
Responsibilities
- Partner with leaders of Thumbtack’s Commercial Strategy team to conduct in-depth quantitative analyses that guide strategic decisions
- Design and implement A/B tests, Market Based tests, and other experiments to measure impact of projects and new features
- Make recommendations based on detailed analysis and a deep understanding of our business
- Build and maintain reports, models, metrics, and visualizations which provide insight into users’ experiences and business performance
- Maintain SQL queries and Looker/Tableau dashboards that underpin analysis and reporting infrastructure
- Identify key drivers of core business outcomes through regression analyses and other statistical techniques
- Contribute to our team and company data culture through peer collaboration, training, coaching and more
Preferred Qualifications
- Master’s degree in Applied Economics, Statistics, Data Science or related fields
- Familiarity with data science and processes of operational business lanes such as Business Development, Sales, Support or Business Operations
- Working knowledge of Looker and LookML. You know how to use it effectively and have deep enough knowledge to grow the team by training others
Benefits
- Virtual-first working model coupled with in-person events
- 20 company-wide holidays including a week-long end-of-year company shutdown
- Library (optional use collaboration & connection hub) in San Francisco
- WiFi reimbursements
- Cell phone reimbursements (North America)
- Employee Assistance Program for mental health and well-being
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