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.

Expert - Automation & Reporting 

JOB PURPOSE:

• GBS Intelligent Automation CoE is the digital transformation engine for Bayer Global Business Services (GBS) organization. It focuses on the re-imagination and digitization of capabilities, processes, services, and reporting for the Enterprise through the design, development, and deployment of scalable digital products and solutions. GBS Intelligent Automation CoE works with the different divisions, regions, and markets, leveraging a core set of integrated technologies, such as AI, ML, RPA, Conversational AI.
• As a Data engineering/ Data scientist, you will design, develop, test/train and deliver high performance Data engineering models, Business intelligence, Advanced analytics and ML solutions.

ROLE AND RESPONSIBILITIES:

Accountabilities:

• Evangelize with business stakeholders, Product Designers, and other developers within the GBS Intelligent Automation CoE to understand the current state process, business requirements to build business solution.
• Design, develop, and deploy Business Intelligence and data Analytics solutions on cloud(azure/AWS) using data bricks platform (through data pipeline, python programming).
• Provide technical consultancy to business partners in driving clarity of business requirements, assess and evaluate the right fit integration solution and high-level design
• Take ownership of business requirements of functional and technical specifications to deliver effective solutions in terms of scalability and performance.
• Hands on experience in data engineering to build proficient data models using SQL and Python
• Experience in identifying KPI’s that help business measure various business functions performance to make actionable insights to respective business stakeholders.

Key Working Relations:

• Internal: OM’s Team Leaders, Across GBS, Location Heads
• External: SDM, Digital Leads, IT, External IT/ Vendor

WHO YOU ARE:

• Degree in Computer Science or related field preferred
• Good to have Specialization/certification in data bricks, Business intelligence or data analytics or Machine learning or AI
• 3-6 years of hands-on experience in Data engineering to build robust, scalable and high performance big data modeling using data management tools SQL and data bricks;
• 3+ years hands-on experience in Databricks or Azure Databricks or big data systems in processing structured and semi structured data.
• Strong understanding of
  • Statistics,
  • Predictive Modeling (e.g., Regression Analysis, Time Series Forecasting),
  • Machine Learning Algorithms (e.g., Decision Trees, Random Forest, Support Vector Machines)
  • Clustering Techniques (e.g., K-means Clustering, Hierarchical Clustering),
  • Natural Language Processing (NLP) Models, Neural Networks (e.g., Deep Learning)
  • Convolutional Neural Networks, Recurrent Neural Networks),
  • Recommender Systems (e.g., Collaborative Filtering, Content-Based Filtering),
  • Anomaly Detection Models, Graph Analytics Models
  • 3+ years hands on experience in developing visualization using PowerBI and power platform.
  • Strong Experience with coding languages (e.g., Python, R) and next generation technologies (i.e., AI, ML, 
  • OCR, VR, Computer Vision / Image Processing, Deep Learning tools & techniques)
  • Great to have exposure to data analytics and AI capabilities on cloud technologies (e.g., Microsoft 
  • Azure, Google Cloud, Amazon Web Services, and cloud-specific PaaS and SaaS solutions)
  • Experience working in Agile methodologies to build and deploy solutions in short cycles.

Differentiating Competencies:

• Ability to work in a fast paced, agile environment with large cross-functional teams
• Ability to manage multiple priorities at the same time
• Exceptional quantitative and analytical skills
• Excellent interpersonal and communication skills, verbal and written
• Ability to drive initiatives from inception to delivery

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/en/strategy/strategy

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”.