At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Asia Product Supply Enabling (Data solutions and Insights) 

POSITION PURPOSE:

Drives data, analytics, and digital transformation capabilities across the product supply to improve decision-making, operational efficiency, and end-to-end visibility. This role partners closely with CP and S&T production, Supply Chain Management (SCM), commercial teams, IT, and external solution providers to convert business challenges into data-driven insights, dashboards, and digital solutions.

YOUR TASKS AND RESPONSIBILITIES:

1. Data Science & Advanced Analytics

• Design, develop, and deploy predictive and prescriptive analytics solutions to support Product Supply decision-making.
• Build machine learning models to improve demand forecasting, supply planning, production planning, inventory management, and logistics optimization.
• Apply statistical modelling, forecasting techniques, optimization, simulation, and scenario analysis to solve complex business problems.
• Conduct hypothesis testing, root-cause analysis, and exploratory data analysis to identify opportunities and quantify business impact.
• Develop analytical frameworks to improve operational performance, customer experience, and supply chain resilience.

2. Data Engineering, Visualization & Insights

• Develop and maintain scalable analytical assets, data models, and data pipelines using modern analytics tools and programming languages.
• Design intuitive dashboards, reports, and visualization solutions that provide actionable business insights.
• Define, monitor, and publish operational and performance KPIs across Product Supply functions.
• Ensure analytical outputs are reliable, repeatable, and aligned to business requirements.
• Enable self-service analytics and reporting capabilities for business stakeholders.

3. Data Strategy, Governance & Quality

• Develop and implement data governance practices aligned with Product Supply objectives.
• Partner with Demand Planning, Supply Planning, Logistics, Distribution, Partner Services, Manufacturing, and Master Data teams to improve data quality and integrity.
• Establish standards for data management, model governance, documentation, and analytical best practices.
• Ensure compliance with enterprise data policies and governance standards.

4. Digital Transformation & Innovation

• Contribute to the Product Supply digital and analytics roadmap aligned with organizational and regional strategy.
• Identify opportunities to automate decision-making, reduce manual effort, and simplify business processes.
• Influence future data, analytics, and digital platform capabilities through business-driven recommendations.
• Support AI and advanced analytics adoption across the Product Supply organization.

5. Business Partnering & Stakeholder Management

• Partner with Product Supply stakeholders to identify business challenges and translate them into analytical use cases and digital solutions.
• Collaborate with regional and global teams to prioritize opportunities and maximize business value.
• Communicate analytical findings and strategic recommendations to both technical and non-technical audiences.
• Serve as a trusted advisor on data, analytics, AI, and digital innovation opportunities.

6. Solution Delivery & Adoption

• Lead requirements gathering, process qualification documentation (PQD), solution validation, and user acceptance testing activities.
• Support deployment and production readiness of analytical and digital solutions.
• Monitor model performance and continuously improve solution effectiveness.
• Drive adoption through training, coaching, documentation, and change management activities.
• Ensure realization of intended business outcomes and measurable value from deployed solutions.

WHO YOU ARE:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field
• 5–7 years of experience in Data Science, Supply Chain Analytics, Business Intelligence, Advanced Analytics, or Digital Enablement roles.
• Proven experience building predictive models, machine learning solutions, and advanced analytics products.
• Proficiency in Python and/or R for analytics, automation, and Machine Learning frameworks (scikit-learn, TensorFlow, PyTorch, or equivalent).
• Proficiency in Power BI, Tableau, Qlik, or equivalent BI platforms

Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here

https://www.bayer.com/enfstrategyfstrategy

Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.

Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. For checking the authenticity of such emails or advertisement you may approach us at HROP_INDIA@BAYER.COM.

Location:

India : Maharashtra : Thane  

Division:

Crop Science 

Reference Code:

877946