Senior Mobile Decision Scientist (Remote-friendly)

OpenKrill

United States

Hybrid

USD 148,000 - 175,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Excellent benefits package
Flexible vacation & Paid Time Off
Employer-matched 401(k) plan
Work-life balance

Job summary

ZipRecruiter is seeking a Sr. Decision Scientist for the Mobile App team.

You will partner with product management, engineering, and design to shape and optimize the mobile user experience across acquisition, engagement, and retention, in a hybrid US-based role. You will leverage rigorous analysis, experimentation, and causal inference to evaluate product performance, uncover user insights, and translate findings into product strategy, prioritizing high-impact initiatives that drive growth and

Qualifications

  • Bachelor's degree in mathematics, CS, statistics, economics or equivalent
  • 5+ years of product analytics experience in a product/engineering/tech environment
  • Experience designing experiments and using statistical principles to inform decisions
  • Proficient in Python, R, SQL and statistical computing

Responsibilities

  • Define KPIs and create reports and dashboards against large data sets.
  • Design, execute, and analyze experiments that drive product growth and improvement.
  • Translate insights into product strategy and communicate with stakeholders and executives.
  • Support development and growth by understanding product data and its limitations.

Skills

Statistical analysis
Experiment design
Data visualization
Communication with stakeholders

Education

Bachelor's degree in quantitative field
Master's degree or PhD preferred

Tools

Python
R
SQL

Job description

ZipRecruiter is seeking a Sr. Decision Scientist for the Mobile App team.

You will partner with product management, engineering, and design to shape and optimize the mobile user experience across acquisition, engagement, and retention, in a hybrid US-based role. You will leverage rigorous analysis, experimentation, and causal inference to evaluate product performance, uncover user insights, and translate findings into product strategy, prioritizing high-impact initiatives that drive growth and

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