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Sr. Decision Scientist, Mobile

Role overview

Qualifications

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

Responsibilities

  • 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

Key facts

Hard skills

Other skills

  • Problem Solving
  • Communication
  • Teamwork

About the company

ZipRecruiter logo

ZipRecruiter

Computer Software / SaaS

ZipRecruiter is a leading online employment marketplace and a NYSE-listed company (ZIP). Powered by AI-driven smart matching technology, we actively connect businesses of all sizes and millions of job seekers to make hiring top talent and finding a job faster and easier. Our employees on various teams each bring their exceptional skills and expertise to help boost our mission. We champion our employees to take ownership of their contributions and further their individual career growth, while they contribute to the growth and success of the company. Founded in 2010, our Santa Monica-based company has over 1000 employees in the U.S., Canada, the U.K., and Israel. We offer many of our employees competitive compensation, a comprehensive benefits package, workplace flexibility, and unlimited vacation days in a diverse, inclusive, supportive environment.

Company details

IndustryComputer Software / SaaS
Company size1001 - 5000

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Job description

We offer a hybrid work environment. Most US-based positions can alsobeperformed remotely (any exceptions will be noted in the Minimum Qualifications below.)

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:

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.

Key Focuses:

  • 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.

Minimum Qualifications:

  • 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

Preferred Qualifications:

  • 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 

As part of our team you’ll enjoy:

  • 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.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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