Role Overview
We are looking for a Full Stack Data Science and Analytics professional to connect advanced statistical modeling with agile product growth. You will manage the end-to-end data lifecycle, build predictive models, and lead experimentation that improves user engagement and business efficiency.
What You Will Do
Build predictive models, statistical reports, and analytical methods to identify trends in large, complex datasets. Apply analytics across market economics, supply chain, marketing, advertising, and scientific research.
Why It Might Be a Fit
Must-Haves: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, or another quantitative field. At least five years of experience in Data Science, Product Analytics, or a related quantitative field.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, or another quantitative field.
- At least five years of experience in Data Science, Product Analytics, or a related quantitative field.
- Advanced SQL skills, including common table expressions and window functions.
- Strong Python skills, including Pandas, Scikit-learn, and Statsmodels.
- Expert proficiency in Google Analytics 4, Looker, or similar product analytics tools.
- Deep knowledge of A/B testing and Frequentist or Bayesian experimental design.
- Advanced Excel skills, including financial modeling, complex formulas, and data manipulation.
- Experience with time-series analysis using methods such as Prophet and ARIMA.
- Experience with growth modeling, including S-curves.
- Strong product mindset and ability to explain technical concepts to non-technical executive audiences.
Benefits
- Dental insurance
- Vision insurance
- Health insurance
- Paid holidays
- Paid time off
- Retirement plan
To apply for this job please visit candidate.pmicareers.com.
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