Dear Candidate,Greetings from Sanmar Group!We have an chance for Senior Data Scientist role for Corporate Office, Chennai.Looking for candidates with 10+ years of total experience and minimum of 5+years of experience in Data Science / Advanced Analytics / AIDetails below,The Lead of Data Science will be an operational leader responsible for building and scalingenterprise-wide data science and AI capabilities. The role will act as a bridge betweenmanufacturing operations and advanced analytics, driving measurable business outcomessuch as cost optimization, productivity improvement, predictive maintenance, supply chainefficiency, and digital transformation.This position will lead the Data Science part of AI & Analytics Centre of Excellence (CoE) andanchor transformation toward Industry 4.0, smart manufacturing, and data-driven decisionmaking. Own enterprise data science and AI strategy Drive adoption of analytics across manufacturing, supply chain, quality, andcommercial functions Deliver quantifiable ROI (cost savings, uptime, yield improvement, working capitaloptimization)Manufacturing analytics plays a critical role in optimizing production, reducing downtime,improving quality, and enabling data-driven decisions across operationsThe role encompasses three core mandates –1. Strategic Leadershipa. Define data science roadmap aligned with business strategyb. Identify high-impact use cases (predictive maintenance, quality analytics,demand forecasting)2. Operational Executiona. Deliver AI/ML solutions embedded in manufacturing processes & other businessfunctionsb. Oversee model lifecycle (development, deployment, monitoring)3. Organizational Capability Buildinga. Build and scale a high-performing teamb. Institutionalize data governance, platforms, and AI cultureKey Responsibilities1. Strategy & Business Alignmenta. Define and execute enterprise data science strategy aligned to business goalsb. Identify high-value AI & AA opportunities acrossi. Manufacturing operations (OEE, yield, downtime)ii. Supply chain (inventory, logistics optimization)iii.



Quality control (defect detection)iv. Sales & other corporate functionsc. Act as a strategic advisor to leadership on AI-driven transformation2. Manufacturing & Operational Analyticsa. Drive implementation of key manufacturing analytics use cases:i. Predictive maintenanceii. Process optimizationiii. Defect detection (vision analytics)iv. Energy and resource optimizationb. Integrate OT (shop-floor sensors) with IT systems for real-time insightsc. Enable decision-making via dashboards, predictive and prescriptive analytics3. Delivery & Execution Excellencea. Oversee end-to-end lifecycle of ML/AI modelsb. Ensure deployment of scalable, production-grade solutionsc. Drive adoption of MLOps, data engineering, and modern data architectured. Ensure business value realization and measurable outcomes4. Team & Capability Buildinga. Build and lead a multidisciplinary team (budding data scientists, engineers,analysts)b. Drive talent development, succession planning, and performance managementc. Establish data science governance, standards, and best practices5. Data Governance & Platformsa. Establish data governance, quality, and security frameworksb. Partner with IT to build scalable data platforms (cloud, IoT, data lake)c. Ensure compliance with data privacy and regulatory standards6. Stakeholder Managementa. Collaborate with cross-functional leaders (Manufacturing, Supply Chain, Sales,Corporate functions)b. Work with service partners in delivering solutionsc. Translate business problems into AI & AA solutionsd. Communicate insights effectively to non-technical stakeholders7. Innovation & Future Readinessa. Track and adopt emerging technologies (AI, GenAI, Agentic AI, IoT,



Digital Twins)b. Drive innovation pipeline and experimentationc. Promote a data-driven culture across the enterpriseAge Group1. 35-40 yrs2. Flexible for exceptional candidates with high-impact leadership experienceQualificationsEssential from reputed institutions1. Bachelor’s degree in Engineering (Mechanical, Chemical, Industrial, or IT preferred)2. Master’s in Data Science / Statistics / Computer Science / Operations Research /AnalyticsDesirable3. MBA (optional but preferred for business alignment)4. PhD in AI/ML, Data Science, or Applied Statistics5. Certifications in Cloud (Azure, AWS, GCP), Data Engineering, or Six SigmaExperienceEssential1. 10+ years of total experience2. 5+ years in Data Science / Advanced Analytics / AI3. 2+ years in leadership roles to manage large teams4. Proven experience delivering enterprise-scale AI & AA programsDesirable5. Experience in manufacturing / industrial / chemical / process industries6. Exposure to Industry 4.0 / IoT / digital manufacturing transformationTechnical1. Machine Learning, Deep Learning, Statistical Modelling, Gen AI & Agentic AI2. Python / R / SQL, Data Engineering fundamentals3. MLOps, model deployment, scalable architecture4. Data visualization tools (Power BI, Qlik, Tableau Desirable5. IoT / sensor data analytics & Digital twin technologiesBusiness & Domain1. Strong understanding of manufacturing value chain2. Proven ability to translate data insights into business outcomes3. KPI design and performance measurement frameworksTypes of Companies / Industry BackgroundPreferred1. Manufacturing organizations (Chemical, Petrochemical, Engineering, Automotive,FMCG)2. Companies undergoing digital transformation or Industry 4.0 initiativesDesirable Exposure1. Global firms with advanced analytics maturity2. Consulting firms (Analytics/Digital Transformation practices)3. Technology companies delivering AI/ML solutionsIf you are interested kindly send your updated resume to [email protected]

📌 Senior Data Scientist (Chennai)
🏢 Chemplast Sanmar
📍 Chennai