Senior Data Scientist – Customer Loyalty

🕒 3 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Tiger Analytics

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

🤖 Inteligência Artificial

🤝 B2B

Artificial Intelligence • B2B • Consulting

A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.