Senior Data Scientist

What You'll Do Here

• Produce actionable insights that drive decisions across the business through rigorous analysis, experimentation, and business-focused data science.
• Apply statistical methods, ML modeling, and behavioral analysis to quantify user behavior, optimize lifecycle marketing, evaluate product and monetization strategies, and inform business decisions, working closely with stakeholders to translate business problems into solutions.
• Help incorporate AI agents to continuously improve and automate analytical processes.

What Success Looks Like

• Success is consistently translating data into clear, actionable decisions that improve product performance, lifecycle marketing effectiveness, and monetization outcomes.
• It shows up in well-designed experiments and frameworks that drive confident choices, insights that meaningfully influence strategy, and strong partnerships with Analytics Engineering and Machine Learning through precise data definitions and feature guidance.
• Over time, it's evident in a growing body of documented learnings, trusted metrics, and measurable impact on how the organization tests, learns, and optimizes.

The Must-haves

• Bachelor's or Master's in Statistics, Economics, Data Science, Mathematics, or a related quantitative field.
• 5+ years of experience in data science roles.
• Strong experience in statistical analysis and experimental design, including hypothesis testing and causal reasoning.
• Understanding of frequentist and Bayesian statistical inference (e.g., PyMC), with demonstrated A/B testing and experimentation experience.
• Experience leading the analysis and optimization of lifecycle marketing performance across the user journey.
• Fluency in SQL and comfort working with large, event-level datasets in data warehouse environments (Snowflake, BigQuery, Redshift, or similar).
• Fluency in Python/R (pandas, matplotlib/seaborn, tidyverse, or similar) and strong experience with common ML packages (scikit-learn or similar).
• Ability to build 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.
• Knowledge of agentic analytics workflows and best design practices.
• High attention to data quality, metric definitions, and analytical rigor.

The Nice-to-haves

• Experience in loyalty programs, performance marketing, or market research.
• Deep learning experience.
• Experience building interactive dashboards in modern BI platforms.
• Experience building agentic analytics workflows.
• Experience building data applications (e.g., Streamlit, Shiny).

Pay Transparency

The anticipated base salary range for this position is $165,000 to $200,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to: the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc.

Prodege Benefits

• A comprehensive benefits package to US full-time employees, including medical, dental, vision, short-term disability, long-term disability, and basic life insurance.
• Flexible PTO, plus paid sick leave prorated based on hire date.
• Eight paid holidays throughout the calendar year.

Equal Employment Opportunity Statement

At Prodege, we are committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply.

FCIHO

Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of FCIHO.