(Senior) Data Scientist (f/m/d) - Göttingen

Position Overview:

Who we are

Novelis is driven by its purpose to shape a sustainable world together.

As a global leader in innovative products and services and the world's largest recycler of aluminum, we partner with customers in the automotive, beverage can, aerospace and specialties industries to deliver solutions that improve the benefits of balanced lightweight aluminum.

We have a coordinated network of technically sophisticated rolling and recycling plants as well as foundries across 32 facilities in 9 countries throughout North America, South America, Europe, and Asia with 13,19 employees worldwide. The company is headquartered in Atlanta, USA.

Our customers include some of the largest and best-known brands in the world, including Coca-Cola, Ford, BMW, Jaguar Land Rover, Airbus, Boeing, Nespresso, Samsung, and others. In addition, Novelis is leading the industry with its sustainability and recycling efforts.

Become part of our mission to create a sustainable world and start as soon as possible at one of our locations in Switzerland (Sierre or Küsnacht) or Germany (Göttingen) as:

(Senior) Data Scientist (f/m/d)

Responsibilities & Qualifications:

This will aid in the optimization of operations by improving the plant operating team’s ability to predict, prevent, or respond to events and/or operating conditions in the most optimal manner.

Your responsibilities:

• You collaborate with translators to define technical problem statements and hypothesis to test as well as understanding business problems to implement scalable and sustainable solutions
• You coordinate with SMEs, translators, IT and data engineers to deliver holistic analytical solutions
• You design, create, test and implement complex models and algorithms that drive analytical solutions throughout the organization
• You regularly test and maintain analytical models to improve efficiency and keep up with changing business needs, ensuring timely analysis and testing for regular maintenance of solutions over time
• You write reports articulating the analytics insights and their business impact
• You conduct and lead meetings and workshops to explain findings
• You support translators in communicating the design, functioning and output of the analytical models and solutions developed

How you convince us:

• You have a Bachelor’s Degree in in mathematics, statistics, computer science, or industrial engineering with a focus on operations research or significant experience in advanced analytics such as Machine Learning, Mathematical Optimization, Simulation, Computer Vision; Master’s or PhD is a plus
• You have a minimum of 2 years of experience in using operations research methods like Linear Programming (LP) and Mixed Integer Programming (MIP), ideally in a business context
• You are proficient in programming languages such as SQL and Python; experienced in big data technologies such as Hadoop, Spark is a plus
• You are experienced with object-oriented development, coding and testing, and model deployment
• You are comfortable in using tools based on Git and preferably working knowledge of cloud computing platforms such as Microsoft Azure, AWS or Google Cloud
• You have proficiency in aggregation of large data sets, data modeling, understanding of data structures
• You have experience in industrial industry applications or process industries (chemicals, energy, petroleum refining, mining) preferred
• You are business fluent in English, German language skills are a plus

What Novelis offers you:

• An international working environment with a cooperative culture, room to take additional responsibilities and an open communication through all levels
• Strong links to our senior management in Küsnacht and our manufacturing plants all over Europe
• An attractive salary with an additional bonus program
• Our competitive company pension scheme and a variety of other benefits
• Internal and external development programs to support your career aspirations
• The opportunity to shape a sustainable world together

Have we caught your interest?

Then become part of our team! We are looking forward to your application!

You can apply easily with your resume via our application system in less than 5 minutes.

We live diversity and therefore welcome all applications - regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation, and identity.

Location Profile:

This position can be filled in Göttingen (Germany) or Küsnacht (Switzerland).