Senior Data Scientist – Customer Loyalty

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🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Design, develop, and deploy causal inference models (e.g., uplift 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 complex customer behavior, purchase patterns, and engagement metrics to build strategies for direct revenue generation. • Perform 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. • Lead workshops and customer analytics strategy discussions with clients. • 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 (pandas, NumPy, scikit-learn) and causal inference libraries (e.g., EconML, DoWhy, CausalML). • Strong SQL skills for large-scale data processing and complex data modeling. • Demonstrated experience in building data models and analytics capabilities from the ground up for new business units or initiatives.

🏖️ Benefits

• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.