Decision Scientist; Test and , Reporting
Listed on 2026-08-27
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IT/Tech
Data Analyst
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets;
an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
Job Title:
Decision Scientist
Fractal Analytics is seeking an experienced Decision Scientist to lead test-and-learn initiatives across insurance products and member experiences. This role combines deep statistical rigor with consulting acumen: you will partner with product, marketing, and operations teams to frame business questions, design experiments, measure incremental impact, and translate results into clear, actionable recommendations. Beyond testing execution, you will leverage data modeling, analytics, and quantitative thinking to solve problems across the full value chain—from member acquisition and onboarding through engagement, retention, and lifetime value.
You will understand client requirements, scope problems broadly, integrate disparate data sources, and drive fact-based decision‑making across the organization. This is an analytics consulting role. The ideal candidate combines strong experimental design and statistical skills with business acumen, intellectual curiosity, and the ability to translate complex technical findings into clear recommendations for cross‑functional stakeholders.
Location:
San Antonio/ Dallas (Texas)
PRIMARY FOCUS: TEST-AND-LEARN WITHIN AN ANALYTICS CONSULTING CONTEXT
Core Competencies- Experimental Design & Incrementality Testing 5+ years designing and executing A/B tests, multivariate tests, and holdout/control experiments
- 3+ years with Mastercard APT or equivalent incrementality testing platforms
- Advanced Statistical Methods Expert‑level knowledge of hypothesis testing, power analysis, significance testing, causal inference, regression discontinuity, and other statistical techniques to validate business hypotheses
- Data & Analytics Foundation Strong SQL and Python; hands‑on experience with data integration, quality assurance, and exploratory analysis
- Ability to work with complex, multi‑source datasets
- Adobe Analytics & Digital Funnel Analysis 3+ years with Adobe Analytics for funnel analysis, customer journey mapping, and experiment performance tracking across web and app experiences
- Lifetime Value (LTV) & Business Impact Modeling Experience building and applying LTV models to estimate long‑term impact of test‑and‑learn initiatives on customer retention, profitability, and business value
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