Note: The job is a remote job and is open to candidates in USA. Prodege, LLC is a marketing and consumer insights platform that helps leading brands, marketers, and agencies answer their business questions. They are seeking a Senior Data Scientist to produce actionable insights through rigorous analysis and experimentation, focusing on optimizing marketing strategies and informing business decisions.
Responsibilities
- 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
- Act as a strategic thought partner to stakeholders through methodical business analysis and proactive diagnostics, observations, and recommendations
- Build and maintain customer segmentation, propensity, and scoring mechanisms for lifecycle marketing
- Partner with marketing to design and execute policies and experimentation frameworks
- Partner with Revenue Operations 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
- Define and evangelize best practices for design and measurement to ensure statistical rigor
- Own A/B tests across product, marketing, and monetization initiatives, including the 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
- Partner with Analytics Engineering to define canonical and semantic models and the business data requirements a well-functioning Data Science discipline needs
- 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 recurring analytical patterns into agentic analytics systems that scale insight generation
Skills
- 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
- 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)
Benefits
- Medical
- Dental
- Vision
- Short-term disability
- Long-term disability
- Basic life insurance
- Flexible PTO
- Paid sick leave prorated based on hire date
- Eight paid holidays throughout the calendar year
Company Overview
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