Data Scientist_ML

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist_ML based in India.

This role is a high-impact data science position focused on building and scaling machine learning solutions that directly influence pricing, demand forecasting, and revenue optimization in large-scale retail and e-commerce environments. You will work on end-to-end ML lifecycle development, from model design and experimentation to deployment and monitoring in production systems. The position involves solving complex business problems using advanced statistical methods and machine learning techniques, with a strong emphasis on real-world business impact. You will collaborate closely with engineering, product, and business teams to translate data into actionable pricing and demand strategies. This is a hands-on role where you will also contribute to MLOps practices, scalable pipelines, and production-ready ML systems. The environment is fast-paced, data-driven, and innovation-focused, offering exposure to modern AI technologies and large-scale retail datasets.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist_ML based in India.

This role is a high-impact data science position focused on building and scaling machine learning solutions that directly influence pricing, demand forecasting, and revenue optimization in large-scale retail and e-commerce environments. You will work on end-to-end ML lifecycle development, from model design and experimentation to deployment and monitoring in production systems. The position involves solving complex business problems using advanced statistical methods and machine learning techniques, with a strong emphasis on real-world business impact. You will collaborate closely with engineering, product, and business teams to translate data into actionable pricing and demand strategies. This is a hands-on role where you will also contribute to MLOps practices, scalable pipelines, and production-ready ML systems. The environment is fast-paced, data-driven, and innovation-focused, offering exposure to modern AI technologies and large-scale retail datasets.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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