Apply statistical modeling, machine learning, and optimization techniques to business problems at the intersection of product and data science
Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
Proactively perform data exploration on engagement behaviors to discover future opportunities
Collaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scale
Deliver well-documented datasets, tools, and reports to key technical and business partners
Identify, compute, and validate the appropriate metrics to measure success in a product area
Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.
Present your research and insights to all levels of the company

Requirements

Advanced degree in Statistics, Machine Learning, Economics, Operations Research, Mathematics, Physics, or related quantitative field
5+ years of relevant experience with large-scale data
Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings
Strong product knowledge and intuition - ideally utilized in consumer/user interface settings or internally serving technical audiences such as engineers
Demonstrated ability to communicate and drive product change across a variety of stakeholders
Strong SQL skills
Strong Quantitative Programming skills in Python or R
Ability to work independently and drive your own projects
Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.

Benefits

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Flexible time off for full-time salaried employees
35 days annually for paid time off for full-time hourly employees

Applicant Tracking System Keywords

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

Hard skills

statistical modelingmachine learningoptimization techniquesdata explorationSQLPythonRquantitative programmingproduct analyticsmetrics validation

Soft skills

communicationcollaborationindependencestakeholder engagementpresentation skillsresearch skillsproblem-solvingprioritizationresource allocationdata-driven decision making