INTL - Remote Data Scientist; Customer, Digital & Loyalty - India

Job Description

We are seeking a highly skilled Data Scientist to join our client’s team in India. This individual will design and build scalable analytical solutions using statistics, mathematics, machine learning, and advanced AI techniques to drive customer insights, retention, and revenue optimization. Key responsibilities are shown below:

• Develop data-driven solutions using statistical methods, mathematical modeling, ML/DL, and advanced AI
• Design experiments (A/B, uplift modeling) and measure impact
• Translate business problems into scalable data science solutions
• Work with large-scale customer datasets (transactions, campaigns, behavior)

• System design for ML pipelines (data ingestion → feature engineering → model → scoring)
• Scalability & performance optimization (Spark tuning, partitioning, caching)
• Model deployment basics (batch/real-time scoring, APIs)
• Version control using Git (branching, collaboration)
• Experience with large-scale data processing

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 5+ years of experience working as a Data Scientist
• Proven experience working in customer-centric domains, such as e-commerce, retail, or other industries where understanding customer behavior and delivering personalized solutions is critical
• 5+ years of experience working with Python for data modeling
• 5+ years of experience working with SQL
• Coding experience with Databricks, specifically building pipelines, querying and processing tables, distributed computing, etc.
• Experience with Scalability & performance optimization (Spark tuning, partitioning, caching)
  -Feature store concepts, ML pipelines (MLOps basics)
• CI/CD pipelines for ML workflows