Decision Scientist II, Marketing Science

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.

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 business teams with actionable insights, investigating issues, and using data to empower ZipRecruiter’s leadership to make difficult calls. You will be embedded with the Marketing Science division of the Decision Science team, where you will work closely with the Marketing teams to solve complex business problems directly related to the growth and success of Ziprecruiter’s network of users, both job seekers and employers.  

Key Focuses:

• Apply or develop causal inference and machine learning models to measure and optimize ZipRecruiter’s online and offline marketing efforts Design, execute, analyze experiments or quasi experiments to measure the effectiveness of ZipRecruiter marketing spends  
• Define KPIs and create reports and dashboards against large data sets
• Use data to identify opportunities to improve user acquisition and optimize return on investment 
• Turn ambiguous questions into clear analytical problems, and solve them using data
• Create readable and informative data visualizations, documentation, and presentations to communicate data insights to stakeholders and executives
• Become a subject matter expert on the technical and business related aspects of our marketplace, including learning how our product, data, and systems work

Minimum Qualifications:

• Bachelor's degree in Mathematics, Statistics, Economics or equivalent experience 
• 3+ years of experience in Business Operations, Analytics, Growth Marketing, or Product
• Advanced SQL knowledge
• Intermediate Python skills (numpy/pandas/matplotlib)
• Structured analytical approach to problem solving
• Experience with A/B testing or experimental design and experience with causal inference techniques

Preferred Qualifications:

• Knowledge of causal inference, experimentation, forecasting
• Advanced scripting language skills, Python 
• Experience with machine learning models 
• 5+ years of experience in Business Operations, Analytics, Growth Marketing, or Product
• Experience working with go-to-market or performance marketing initiatives
• Previous experience working on marketing domains 

#LI-Remote 

The US base salary range for this full-time position is $125,000 - $145,000. 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.