Decision Scientist

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 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.

We currently have multiple Decision Scientist roles open across many teams and ranging in seniority. We will start with a more general interview process and will then match you accordingly based on interest and experience. 

Summary:

ZipRecruiter is a multi-sided marketplace connecting job seekers and employers. In the role of Decision Scientist, you'll be at the heart of our business, providing teams with actionable insights, investigating issues, and using data to empower ZipRecruiter’s leadership to make difficult calls. As a Decision Scientist you will be working on complex business problems directly related to the growth and success of Ziprecruiter’s network of users, both job seekers and employers.  

Key Focuses:

• Develop a deep understanding of product and user data, including limitations and caveats, to support business decisions and strategy.
• Generate actionable insights from large data sets to drive product development, user acquisition, and revenue optimization.
• Design, execute, and analyze experiments, including A/B tests, to identify the most effective strategies for growth and monetization.
• Define and track key performance indicators (KPIs) to measure the success of various initiatives and optimize processes.
• Communicate data insights through clear and informative visualizations and presentations to stakeholders and executives.
• Collaborate with cross-functional teams, including Sales, Product, Engineering, Marketing, and ML teams, to turn data insights into actionable strategies and improvements.

Minimum Qualifications:

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or equivalent experience.
• 1+ year of experience in product or sales analytics, data science, decision science, business/revenue operations, or marketing analytics 
• Advanced SQL knowledge and professional experience using SQL for data analysis and visualization.
• Proficient in statistical computing and scripting languages such as Python and R
• Structured analytical approach to problem-solving, including experience with A/B testing, experimental design, and/or knowledge of causal inference techniques

Preferred Qualifications:

•  Advanced degree (Master’s or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience.
• Extensive experience with designing experiments, A/B testing, and knowledge of causal inference and Bayesian statistics techniques.
• 2+ years of experience in product or sales analytics, data science, decision science, business/revenue operations, or marketing analytics 

#LI-Remote

The US base salary range for this full-time position is $82,500-120,000. 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.