Data & AI SCIENTIST

SupportFinity™; Auburn Hills (MI); On-site; USD 80,000 - 120,000; Full time

Job summary

A global automotive company is seeking a Data Scientist in Auburn Hills, Michigan. The candidate will develop advanced data use cases in the Supply Chain domain, leveraging a diverse ecosystem. The role requires strong programming skills in Python and SQL, and the ability to analyze large data sets for trends. Preferred candidates will have a Master's in Data Science, with experience in machine learning and familiarity with big data frameworks like Spark and Databricks. This position offers a collaborative, international work environment.

Qualifications

• 5 years of relevant experience in ICT or Supply Chain.
• Knowledge of advanced statistical techniques including regression and statistical tests.
• Ability to work proactively in a team.

Responsibilities

• Merge large, complex data sets to meet business requirements.
• Analyze information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.

Skills

Data analysis

Machine learning

Programming in Python

SQL

Statistical analysis

Education

Master in Data Science / Computer Science

Tools

Spark

Databricks

Snowflake

Palantir Foundry

Microsoft PowerBI

PyTorch

TensorFlow

Job description

The candidate will be responsible for developing advanced data use cases in Stellantis Global Supply Chain business domain, leveraging 360° ecosystem (Supply Chain, Manufacturing, Engineering, Sales and Marketing, and Purchasing. The candidate will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. The candidate will have strong experience in building and implementing models, using/creating algorithms and creating/running simulations. As well as using a variety of data mining/data analysis methods.

Job responsibilities include but not limited to:

• Merge large, complex data sets that meet business requirements
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Writing and refactoring the code into reusable libraries and API
• Support business analytics initiatives across SC departments
• Facilitate the internal and external data science & AI network
• Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series)

Basic Qualifications:

• Master in Data Science / Computer Science
• 5 years of relevant experience (i.e. ICT and/or Supply Chain)
• Knowledge of at least one of some of the main Big Data frameworks and platforms: Spark, Databricks, Snowflake
• Strong programming skills in Python and SQL
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, …)
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, …) and their real-world advantages/drawbacks
• Combination of business focus, analytical and problem-solving skills to quickly define a data-driven solution within different initiatives
• Ability to work within a team and with a proactive attitude

Preferred Qualifications:

• PhD
• Experience in a multinational (global) work environment
• AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated
• Palantir Foundry platform
• Microsoft PowerBI / Fabrics tool (incl. DAX programming language)
• Deep learning frameworks (Pytorch, Tensorflow, …)
• Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)