Senior Data Scientist

Job Description Who We Are!

Pollfish, a Prodege, LLC company, is an online market research survey platform where data‑driven brands bring market research in‑house for faster and smarter decision making. We have a proprietary network of 250M consumers/year which enables companies to connect with and understand real consumers worldwide in a fast, easy and cost‑effective way.

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.

• 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.

• 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.

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.

• 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…