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Senior Data Scientist - Customer Loyalty

2 weeks, 1 day ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
Machine Learning NumPy Pandas Python Scikit-learn SQL
Apply Now
Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 74

Description

  • Design, develop, and deploy causal inference models to measure the impact of marketing interventions and loyalty drivers.
  • Build machine-learning forecasting and predictive models for customer lifetime value and churn.
  • Create foundational data modeling frameworks for a new business unit and transform raw transactional data into scalable features.
  • Analyze customer behavior, purchase patterns, and engagement metrics to support revenue-generating strategies.
  • Perform large-scale data extraction, transformation, and analysis using SQL.
  • Partner with marketing, product, and business teams to translate loyalty requirements into analytical solutions.
  • Present model findings and recommendations to senior client stakeholders, clearly explaining correlation versus causation.
  • Lead client workshops and customer analytics strategy discussions.
  • Implement and operationalize models in cloud environments.

Requirements

  • 6+ years of experience in applied data science or advanced analytics.
  • 4+ years of hands-on experience in customer analytics, customer loyalty programs, churn prediction, or behavioural monetisation.
  • Strong domain experience in CPG, FMCG, retail, or similar consumer-facing industries.
  • Advanced proficiency in Python, including pandas, NumPy, and scikit-learn.
  • Experience with causal inference libraries such as EconML, DoWhy, or CausalML.
  • Strong SQL skills for large-scale data processing and complex data modeling.
  • Demonstrated experience building data models and analytics capabilities from the ground up for new business units or initiatives.

Benefits

  • Opportunity for significant career development in a fast-growing entrepreneurial environment.
  • High degree of individual responsibility and ownership.
  • Equal employment opportunity regardless of protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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