Our Mission: 

To actively connect people to their next great opportunity.

Who We Are: 

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

Summary:

The Paid Acquisition team is on a mission to acquire the right job seekers to meet customer demand. As a Decision Scientist II on this team, you will collaborate with product management, engineering, and design to drive the development, prioritization, and planning of the product roadmap. Specifically, you will apply the following quantitative tools to support better decision-making:

• Description: Utilize descriptive statistics to assess product performance, helping the team identify potential causes and solutions when performance metrics show unfavorable trends.
• Experimentation: Serve as the end-to-end owner of hypothesis-driven experimentation for your product team, providing thorough analysis and delivering clear, actionable recommendations.
• Inference: Perform statistical inference to enhance your team’s understanding of products and users, inferring causality in situations where testing isn’t feasible.

Key Focuses:

• Influence your stakeholders and executives to make better product decisions. Be willing to tell uncomfortable truths.
• Become deeply familiar with our product data. Understand the limitations and caveats. Use our data to plan and complete analysis that supports product development.
• Propose analyses that the product manager and engineering team haven’t considered yet. Provoke new and deep thinking in the team. Level up their understanding of our product data.
• Build clear and compelling data visualizations so stakeholders can analyze product health independently.

Minimum Qualifications:

• Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience)
• 3+ 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

Preferred Qualifications:

• Master’s or Ph.D. in a quantitative field such as mathematics, computer science, operations research, 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 user acquisition

As part of our team you'll enjoy:

• Competitive salary
• Exceptional benefits package
• Flexible Vacation & Paid Time Off
• Employer-matched 401(k) plan 
• Employee Stock Purchase Plan

#LI-remote

The US base salary range for this full-time position is $125,000-$160,000. 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.