Data Scientist Manufacturing

Offer by Novelis




About this job

Job type: Full-time
Role: Data Scientist


r, sql, algorithm

Job description

Role Overview 

Novelis is looking for a Data Scientist to join our Global Digital Team. He/she will be responsible for applying advanced statistical analysis tools and Machine Learning techniques to explain operating behaviors, understand complex relationships between known and unknown drivers of performance, and build algorithms using advanced descriptive 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


  • Collaborates with translators to define technical problem statement and hypothesis to test; understand business problems to implement scalable and sustainable solutions

  • Coordinates with SMEs, translators, IT and data engineers to deliver holistic analytical solutions

  • Designs, creates, tests and implements complex models and algorithms that drive analytical solutions throughout the organization

  • Regularly tests and maintains analytical models to improve efficiency and keep up with changing business needs, ensuring timely analysis and testing for regular maintenance of solutions over time

  • Writes reports articulating the analytics insights and their business impacts

  • Conducts and leads meetings and workshops to explain findings

  • Supports translators in communicating the design, functioning and output of the analytical models/solutions developed


  • 3+ years of experience in data science specifically in building predictive models using Machine Learning techniques

  • Bachelor’s Degree in Data Science or significant experience in advanced statistical analysis; Master’s or other advanced degree a plus

  • Experience with object oriented design, coding and testing, engineering Data Science/Machine Learning platforms

  • Proficiency in programming languages such as SQL and Python or R and experience in big data technologies such as Hadoop, Spark

  • Comfort in using SQL Server, PostgreSQL/ MySQL, experience in tools based on Git or SVN and working knowledge of cloud computing platforms such as Microsoft Azure, AWS or Google Cloud

  • Proficiency in aggregation of large data sets, statistical analysis tools

  • Expert knowledge of data modeling and understanding of different data structures

  • Understanding of advanced applied mathematics in AA, artificial intelligence and array operations

  • Experience in manufacturing industry required

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