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Novelis

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

  • +3
  • +9
  • CH
    Switzerland
Manifester de l'intérêt pour ce poste
  • +3
  • +9
  • CH
    Switzerland

À propos

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 13,190 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

Novelis is looking for a (Senior) Data Scientist to join our Global Digital Team with a focus on Supply Chain and Operations. In this role, you will be responsible for applying advanced statistical analysis tools and Advanced Analytics techniques such as Machine Learning, Mathematical Optimization, Simulation, and Computer Vision to explain operating behaviors, understand complex relationships between known and unknown drivers of performance, and build algorithms using advanced descriptive, diagnostic, predictive, and prescriptive methods. 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 hypotheses 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 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, and 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; experience in big data technologies such as Hadoop and Spark is a plus.
  • You are experienced with object-oriented development, coding and testing, and model deployment.
  • You are comfortable using tools based on Git and preferably have 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, and understanding of data structures.
  • You have experience in industrial 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 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

Novelis’ Sierre is located in the Valais, Switzerland, employing around 550 people. It mainly focuses on the production of aluminum sheet for the automotive market, covering the entire process from casting to finishing. The plant also hosts a world-leading Research & Innovation Center specialized in the development of new automotive sheet alloys, surface treatment, and joining technologies. In February 2022, together with research institutions and a local energy provider, Novelis founded the Net Zero Lab Valais to develop carbon-neutral solutions for aluminum manufacturing. The lab focuses on identifying and implementing innovative solutions to neutralize the carbon footprint of Novelis’ manufacturing operations and neighboring communities starting in Sierre. The Sierre plant supports its community through direct sponsorship of many annual events promoting education, sports, and culture. #J-18808-Ljbffr

Compétences idéales

  • Machine Learning
  • Computer Vision
  • SQL
  • Python
  • Hadoop
  • Spark
  • Git
  • AWS
  • Linear Programming
  • Switzerland

Expérience professionnelle

  • Machine Learning
  • Data Engineer
  • Data Analyst

Compétences linguistiques

  • English