Data Scientist, Applied Analytics

Location: California

**** Qualifications** -*
* **** Detailed

Job Duties:

**** (
* typical monthly, weekly, daily tasks which support the primary objectives*)
* Design, analyze, and interpret A/B tests and controlled experiments to evaluate product features, marketing programs, incentives, and monetization strategies.
* Establish best practices for experimental design, statistical validity, and result interpretation to ensure reliable decision-making.
* Measure incremental impact, causal effects, and business outcomes across lifecycle stages including acquisition, activation, retention, and re-engagement.
* Partner with Product, Growth, and Marketing teams to define hypotheses, success metrics, and post-test actions.
* Document experimental results and key learnings in a centralized knowledge base to promote reuse, transparency, and continuous improvement.
* Collaborate with BI team by informing data requirements for the semantic layer.
* Expose behavioral learnings to Data Scientists & ML team to inform feature development.
**** The MUST Haves:**** (
* ex: job cannot be done without these skills, education, experience, certifications, licenses*)
* Bachelor’s or Master’s degree in Statistics, Economics, Data Science, Mathematics, or a related quantitative field.
* Three or more (3+) years experience in applied analytics roles.
* Strong foundation in statistical analysis and experimental design, including hypothesis testing and causal reasoning.
* Understanding of frequentist and Bayesian statistical inference (e.g., PyMC) and demonstrated experience with A/B testing and experimentation frameworks.
* Experience leading the analysis and optimization of lifecycle marketing performance across the user journey.
* Fluency in SQL and ability to work with large, event-level datasets in data warehouse environments (e.g., Snowflake, Big Query, Redshift).
* Proficiency in Python/R (pandas, matplotlib/seaborn, tidyverse, or similar).
* Ability to develop effective data visualizations that clearly communicate insights to business stakeholders.
* Strong communication skills with the ability to translate complex analysis into clear, actionable business insights.
* High attention to data quality, metric definitions, and analytical rigor.
**** The Nice to Haves:**** (
* preferred additional skills, education, experience, certifications, licenses*)
* Experience in loyalty programs or performance marketing or market research.
* Advanced Python skills and familiarity with common ML packages.
* Experience building interactive dashboards in modern BI platforms.
* Experience with site and product analytics tools (e.g. Amplitude).Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date. US Employees have eight paid holidays throughout the calendar year. Employees receive an option to purchase shares of Company stock commensurate with their position, which vests over four years.

Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of
** FCIHO.*
* #J-18808-Ljbffr