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 scientists, 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

2+ 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceanalyticseconomicsSQLquantitative researchexperimental designcausal inferencescenario modelingdata analysismetrics monitoring

Soft Skills

strong communicationrelationship buildingstakeholder managementmentoringcollaboration

Certifications

Bachelor's degreeMaster's degreeDoctoral degree