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Decision Scientist II, Mobile

United StatesUnited States·Santa MonicaRemotemid
Data ScientistData
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Quick Summary

Requirements Summary

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,

Technical Tools
Data ScientistData

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

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 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.

  • 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.

Requirements

~1 min read
  • 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
  • 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

#LI-Remote

The US base salary range for this full-time position is $130,000-$155,000. 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

Location & Eligibility

Where is the job
Santa Monica, United States
Remote within one country
Who can apply
US

Listing Details

Posted
May 21, 2026
First seen
May 21, 2026
Last seen
May 23, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
68%
Scored at
May 21, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
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Decision Scientist II, Mobile