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Mid-level ML role, metro Pune, broad cloud/dataplatform requirements increases candidate density.
Core ML and data platform skills are transferable, though manufacturing and supply-chain domain needs moderate domain knowledge.
Explicit 6–8 years and mandatory ML, cloud, Snowflake and Databricks requirements increase shortlisting strictness.
Develop and deploy predictive, statistical, and machine learning models to solve business problems in manufacturing, supply chain, commercial operations, and predictive maintenance.
Conduct exploratory data analysis and prepare data (structured and unstructured) for analytics to deliver actionable business insights.
Collaborate with stakeholders and technical teams to translate business needs into analytical solutions, communicating findings to diverse audiences.
6-8 years of relevant experience in data science or AI/ML roles.
Proficiency in Python, R, SQL, machine learning, statistical modeling, and data visualization (Power BI).
Experience working with cloud analytics platforms such as Azure, AWS, GCP, Snowflake and data platforms like Snowflake and Databricks.
Location: Pune, India. Work model or notice period: Not explicitly mentioned in the JD.
Experienced in delivering measurable business outcomes through analytics across multiple functions like manufacturing and supply chain.
Skilled in partnering with business and technical stakeholders to implement data-driven decision support models.
Familiar with promoting data science best practices and innovation in enterprise environments involving cloud analytics and big data platforms.