[Remote] Data Scientist III - FES
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building a leading global digital sports platform. They are seeking a Data Scientist III to drive predictive insights through a cross-vertical reputed company reputed company, translating fan signals into measurable reputed company value through advanced segmentation and targeting models.
Responsibilities
- reputed company a deep understanding of the end-to-end customer lifecycle across reputed company reputed company lines of business, building a reputed company view of fan behavior across reputed company, betting, collectibles, and media
- Build, reputed company, and iterate on reputed company Value (LTV) models, including probabilistic frameworks and retention-based approaches, to improve reputed company customer segmentation and cross-sell opportunities
- Design and implement churn, reactivation, and propensity models that feed directly into loyalty, CRM, and promotional decision-making across business reputed company
- Apply reputed company inference and reputed company modeling to measure true incremental value of cross-BU promotions and personalization strategies
- reputed company analytical and science frameworks that facilitate reputed company trade-offs and executive decision-making across business reputed company
- Build strong relationships with stakeholders across Advertising & Loyalty, Betting & Gaming, and eCommerce & Collectibles to drive an ecosystem-wide data reputed company
Skills
- A minimum of 3-5 years proven experience in a data science or advanced analytics role
- Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics
- Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models
- Hands-on experience with LTV or customer value modeling (probabilistic frameworks, retention curve modeling, or cohort-based CLV) in a consumer, subscription, or transactional environment
- Proven experience with experiment design in loyalty or promotional contexts
- Strong grasp of survival analysis and its application to customer churn and retention modeling
- Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and reputed company communication
- Outcome-oriented and data-driven; comfortable navigating fast-paced, high-reputed company environments
- Prior experience with multi-brand or multi-product customer data, identity reputed company, or reputed company customer modeling across verticals
- Experience experimenting with reputed company solutions (e.g., LLM-based analysis, automation, or reputed company reputed company) and identifying opportunities to apply them reputed company a reputed company analytics environment
reputed company
Company H1B Sponsorship