Sr. Decision Scientist, Mobile

To actively connect people to their next great opportunity.

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

As a Sr. Decision Scientist supporting the Mobile App team, you will partner closely with product management, engineering, and design to shape and optimize the mobile user experience across acquisition, engagement, and retention. You will leverage rigorous analysis, experimentation, and causal inference to evaluate product performance, uncover user behavior insights, and identify opportunities to improve app engagement and growth. You will translate insights into product strategy, prioritize high-impact initiatives, and help deliver seamless mobile experiences that drive both business growth and job seeker success.

• Define KPIs and create reports and dashboards against large data sets to track performance.
• Turn ambiguous questions into clear analytical problems and solve them using data.
• Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth.
• Design, execute, and analyze experiments that drive product growth and improvement.
• Create readable and informative data visualizations, documentation, and presentations to communicate insights to stakeholders and executives.

• Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience)
• 5+ years of product analytics experience (optional: in a product/engineering/tech environment)
• Experience designing experiments, testing, and utilizing statistical principles to inform business decisions
• Proficient in statistical computing and scripting languages such as Python, R, SQL

• Master’s or Ph.D. in a quantitative field such as mathematics, computer science, operations research, or economics
• In-depth knowledge and hands-on experience in various areas, including probability and statistics theory, causal inference, experimental design and analysis, synthetic control, product ecosystems, and Bayesian inference
• Experience in product analytics with a focus on mobile apps or building zero-to-one products 

• Competitive salary
• Exceptional benefits package
• Flexible Vacation & Paid Time Off
• Employer-matched 401(k) plan
• A fun environment where work-life balance is valued

#LI-Remote

The US base salary range for this full-time position is $147,500-$175,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.