Sr Data Science Solutions Lead

Key Skills

Aartificial intelligence, Algorithms, Apache Kafka, Data science techniques, Database, Docker, Java Programming, Kubernetes-K8s, MLflow, MongoDB, NoSQL, PySpark, Python Programming, R Programming, RabbitMQ, SQL

Job Description

You will be working as Sr Data Science Solutions Lead at global grade 12 and will be part of Process Automation Business Area for Process Automation Digital Division based in Bangalore, India. In this role you will be reporting to Head of Solution & Value Engineering Manager and will be responsible for conceptualizing, defining and building industry specific digital solutions in our Process Automation Digital organization.

Your responsibilities

• Develop machine learning and artificial intelligence-based solutions for Process Automation Digital organization.
• Create scalable models and algorithms for integrating into proprietary tools and products.
• Work closely with customers and Business Units (BUs) to architect and develop customer centric solutions tailored to their requirements
• Practice agile development of digital solution ‘Proof of Concepts’ to effectively articulate the Customer Value Proposition
• Provide industry specific domain insights for rich proposal responses by articulating customer value proposition.

Your background

• Must have a bachelor's or master's degree in computer science engineering.
• Minimum of 4-6 yrs experience with NoSQL databases, such as, MongoDB; language like Python or R or PySpark.
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Experience in the lifecycle of enterprise-class software development; Familiarity with technologies like Docker, Kubernetes and Mlflow.
• Experience in project delivery is essential for at least two end-to-end customer projects.

More about us

Process Industries division delivers complete electrification and automation solutions, industry-specific products and lifecycle services across industries. Engineering and delivering automation solutions from device to monitoring and control make our customers get more out of their investment; digitalization solutions including collaborative operations and augmented reality help improve plant and enterprise productivity, reduce maintenance and energy costs. Our engineering, project management, services and solutions portfolio covers a wide range of industries - Mining, Pulp & Paper, Metals, Aluminum and Cement, Data centers and Food and Beverage.