Expert - Process Automation
1 week ago
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 - Process Automation
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 databricks 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 databricks, 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 databricks;
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
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 "" or job advertisements referring you to an email address that does not end with "".
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