ZipRecruiterSr. Decision Scientist, Mobile
ZipRecruiter is hiring a Sr. Decision Scientist, Mobile in Santa Monica, United States. It pays $148k-$175k a year and Level rates it ; you can apply on ZipRecruiter.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting allows some remote work.
- Tools and skills the posting cites include Python, R and SQL.
- Level lists 45 other open roles at ZipRecruiter.
- The role was posted within the past two weeks.
AI in this role
Senior Decision Scientist needed to drive mobile app growth through experimentation, causal inference, and product analytics.
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.)
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
How we rate this
Sr. Decision Scientist, Mobile at ZipRecruiter rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product analytics was part of your work. What did you do?
- Tell me about a project where experimentation was part of your work. What did you do?
- Tell me about a project where causal inference was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Product Analytics, Experimentation, Causal Inference, Statistical Modeling, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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