Senior Data Scientist

Sr. Data Scientist

Prodege:

A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Blackstone in Q1 2026, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.

Strategic Imperative:

The Sr. Data Scientist is responsible for producing actionable insights to drive decision-making across the business through rigorous analysis, experimentation, and business-focused data science. This role applies statistical methods, ML modeling, and behavioral analysis to quantify user behavior, optimize lifecycle marketing, evaluate product and monetization strategies, and inform business decisions. The role will closely collaborate with business stakeholders to translate business problems and data into solutions.

This position is centered on hands-on analytics, experimentation, and business impact. While the role will involve building predictive models, it is not focused on the deployment of live production models or ML Ops. The role is intended to incorporate AI agents to continuously improve and automate analytical processes

As an organization, we go the extra mile to "Create Rewarding Moments" every day for our partners, consumers, and team. Come join us today!

Primary Objectives:

• Data Analysis & Insights Development: Drive data-informed progress across priority business areas by delivering rigorous analysis, actionable insights, and close partnership on optimization initiatives.
• User Intelligence, Segmentation & Marketing Enablement: Develop and operationalize user-level insights, segmentation frameworks, and behavioral analysis that enable smarter targeting, personalization, and lifecycle engagement across growth and marketing programs.
• Experimentation, Learning & Strategic Insight: Enable confident decision-making through statistically sound experimentation, structured insight generation, and systematic documentation of learnings to inform business planning, long-term strategy, and continuous improvement.

Qualifications - To perform this job successfully, an individual must be able to perform each job duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Detailed Job Duties: ( typical monthly, weekly, daily tasks which support the primary objectives )

• Analytical Insights & Modeling
  • Act as a strategic thought partner with stakeholders by enacting methodical business analysis and offering proactive diagnostics, observations, and recommendations.
  • Build and maintain customer segmentation, propensity, and scoring mechanisms for use in lifecycle marketing
  • Partner with marketing to devise and execute on policies and experimentation frameworks
  • Partner with Revenue Operations team to streamline pricing and rewards decisions through automated statistical frameworks.
  • Communicate findings clearly and document learnings to build reusable knowledge.
  • Provide technical guidance and mentorship to more junior team members.
• Statistical Rigor
  • Define and evangelize best practices and frameworks for design and measurement to ensure statistical rigor
  • Partner on A/B tests across product, marketing, and monetization initiatives, owning statistical experimentation frameworks (Bayesian and frequentist) and tooling
  • Partner with teams on hypotheses, success metrics, and post-test actions.
  • Own the capture and scaling of learnings to improve future experimentation.
• Data Foundations Support
  • Partner with Analytics Engineering to define canonical and semantic models and other business data requirements necessary to support a well functioning Data Science discipline.
  • Enable reliable lifecycle tracking and feature generation.
  • Expose behavioral learnings to ML engineers to inform feature and model development.
  • Partner with AI teams to translate workflows and recurring analytical patterns into agentic analytics systems that scale insight generation.

What does SUCCESS look like?

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

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.
• Five or more (5+) years experience in data science roles.
• Robust experience 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, BigQuery, Redshift).
• Fluency in Python/R (pandas, matplotlib/seaborn, tidyverse, or similar) and robust experience with common ML packages (scikit-learn 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.
• Knowledge of agentic analytics workflows and best design practices.
• 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, 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)

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 is a multi-state employer and final compensation within this range could be impacted by work location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Prodege Benefits:

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.

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.