As a Senior Data Scientist , you will:

• Partner with business leaders to identify high-value opportunities, formulate requirements and rationalize analytical approaches to solve them
• Develop a firm understanding of specific business processes and real-world workflows, which may include manufacturing, supply chain, accounting and other related functions
• Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
• Lead data science initiatives that impact operations across multiple business units and global regions
• Define project scope, timelines and deliverables in collaboration with business leaders
• Architect scalable machine learning and AI solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
• Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
• Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
• Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
• Manage and mentor interns, junior data scientists and analysts.
• Present clear, compelling visualizations and executive summaries tailored to non-technical audiences
• Translate advanced analytics results into strategic recommendations for VP and C-level leadership
• Utilize programming languages such as SQL, Python for data manipulation, analysis and model development

SUGGESTED QUALIFICATIONS

• Master’s degree in a quantitative discipline
• Five or more years of professional data science experience, with a track record of leading high-impact projects
• Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
• Advanced proficiency in Python, SQL and PySpark
• Deep expertise in machine learning, deep learning, optimization, and statistical modeling
• Familiarity with emerging trends such as generative AI and responsible AI
• Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
• Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
• Knowledge of Streamlit for building interactive data applications preferred
• Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
• Demonstrated ability to drive business impact and ROI through analytics
• Strong track record of executive-level communication and influence
• Experience leading cross-functional teams across multiple geographies
• Strong understanding of manufacturing operations, supply chain optimization and ERP systems

Please refer the Job description for details