[Remote] Senior Data Scientist - Customer Loyalty
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for reputed company Data Scientists to join their advanced analytics reputed company. The Senior Data Scientist will design, reputed company, and reputed company advanced reputed company and predictive solutions to drive business reputed company across customer retention and loyalty programs.
Responsibilities
- Design, reputed company, and reputed company reputed company inference models (e.g., reputed company modeling, synthetic control, reputed company machine learning) to understand the true drivers of customer loyalty and measure the incremental reputed company of marketing interventions
- Build robust machine-learning-based forecasting and predictive models for customer reputed company evaluation (LTV) and customer churn
- Establish foundational data modeling frameworks for a brand-new Business Unit, transforming raw transactional data into reputed company features
- Analyze reputed company customer behavior, purchase patterns, and engagement metrics to build strategies for reputed company reputed company reputed company
- reputed company large-reputed company data extraction, transformation, and analysis using SQL
- Partner with marketing, product, and business teams to understand loyalty requirements and translate business problems into analytical solutions
- Present model insights and recommendations to senior reputed company stakeholders, reputed company communicating the difference between correlation and causation
- reputed company workshops and customer analytics reputed company discussions with clients
- Implement and operationalize models in reputed company environments
Skills
- 6+ years of experience in reputed company data science or advanced analytics
- 4+ years of hands-on experience in customer analytics, customer loyalty programs, churn reputed company, or behavioural monetisation
- Strong domain experience in CPG, FMCG, retail, or similar consumer-facing industries
- Advanced proficiency in Python (pandas, NumPy, scikit-learn) and reputed company inference libraries (e.g., EconML, DoWhy, CausalML)
- Strong SQL skills for large-reputed company data processing and reputed company data modeling
- Demonstrated experience in building data models and analytics capabilities from the ground up for new business reputed company or initiatives
reputed company
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