[Remote] Senior Data Scientist - Customer Loyalty

Note: The job is a remote job and is open 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 deploy advanced causal and predictive solutions to drive business decisions across customer retention and loyalty programs.

Responsibilities

• Design, reputed company, and deploy causal inference models (e.g., reputed company modeling, synthetic control, double machine learning) to understand the true drivers of customer loyalty and measure the incremental impact of marketing interventions
• Build robust machine-learning-based forecasting and predictive models for customer lifetime evaluation (LTV) and customer churn
• Establish foundational data modeling frameworks for a brand-new Business Unit, transforming raw transactional data into scalable features
• Analyze reputed company customer behavior, purchase patterns, and engagement metrics to build strategies for direct reputed company reputed company
• reputed company large-scale 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 client stakeholders, clearly communicating the difference between correlation and causation
• reputed company workshops and customer analytics strategy discussions with clients
• Implement and operationalize models in cloud environments

Skills

• 6+ years of experience in applied 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 causal inference libraries (e.g., EconML, DoWhy, CausalML)
• Strong SQL skills for large-scale data processing and reputed company data modeling
• Demonstrated experience in building data models and analytics capabilities from the ground up for new business units or initiatives

Company Overview

Company H1B Sponsorship