Data Science Specialist

Our client is looking for an experienced Data Science Lead to drive advanced analytics, AI/ML initiatives, and data-driven transformation programs. This role offers an exciting opportunity to lead a high-performing team, develop scalable analytics solutions, and partner with global stakeholders to deliver measurable business impact across manufacturing, operations, and supply chain functions.

Key Responsibilities

Data Science & Analytics Leadership

• Lead the design and delivery of advanced analytics and machine learning solutions.
• Drive high-impact use cases focused on:
• Manufacturing productivity improvement
• Process optimization and operational efficiency
• Quality, yield, downtime, and cost optimization
• Predictive, prescriptive, and simulation-based analytics
• Own the end-to-end analytics lifecycle, including problem definition, data exploration, model development, validation, deployment, and performance monitoring.

Hands-on Technical Delivery

• Develop and review machine learning and statistical models using Python and SQL.
• Build Proof of Concepts (PoCs) and scalable analytics solutions leveraging:
• Azure Cloud
• Azure Data Factory (ADF)
• Snowflake
• Collaborate with data engineering and platform teams to productionize analytics solutions.
• Ensure model robustness, explainability, and business relevance.

Team Leadership & Capability Building

• Lead, mentor, and develop a team of Data Scientists and Analysts.
• Establish best practices, reusable frameworks, and technical standards.
• Conduct code reviews, model reviews, and technical design discussions.
• Drive capability building and continuous learning within the team.

Stakeholder Management

• Partner with global business, operations, manufacturing, R&D, and digital teams.
• Translate business challenges into structured analytics opportunities.
• Present insights, recommendations, and value realization outcomes to senior leadership.
• Act as a key bridge between business objectives and analytics execution.

Required Skills & Experience

Technical Skills

• Strong hands-on expertise in Python (Pandas, NumPy, Scikit-Learn, Statsmodels, etc.)
• Advanced SQL skills
• Experience with:
• Azure Cloud
• Azure Data Factory (ADF)
• Snowflake
• Strong understanding of:
• Machine Learning
• Statistical Modeling
• Optimization Techniques
• Forecasting and Time-Series Analytics
• Operational Analytics
• Experience deploying enterprise-scale analytics solutions from PoC to production.

Domain Experience

• Experience in Manufacturing, Industrial Analytics, Operations, Productivity Improvement, or Supply Chain Analytics.
• Strong business acumen with the ability to quantify ROI and business impact.

Leadership Skills

• Proven experience leading Data Science or Analytics teams.
• Strong communication, stakeholder management, and problem-solving capabilities.
• Ability to thrive in a global, matrixed environment.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 814+ years of overall experience in Data Science, Analytics, or AI/ML.
• 35+ years of experience leading Data Science or Advanced Analytics teams.
• Experience working within GCC, CoE, or global delivery environments is preferred.