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Data & AI SCIENTIST

Auburn Hills, MI, US • Posted 6 hours ago • Updated 6 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Use Cases
Manufacturing Engineering
Sales
Marketing
Purchasing
Collaboration
Data Engineering
Data Mining
Data Analysis
Algorithms
Writing
Code Refactoring
API
Business Analytics
Network
Time Series
Data Science
Computer Science
ICT
Supply Chain Management
Big Data
Apache Spark
Databricks
Snow Flake Schema
Python
SQL
Regression Analysis
Machine Learning (ML)
Clustering
Decision Trees
FOCUS
Analytical Skill
Conflict Resolution
Problem Solving
Artificial Intelligence
Natural Language Processing
Computer Vision
Microsoft Power BI
DAX
Deep Learning
PyTorch
TensorFlow
Leadership

Summary

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)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183256
Position Id: f804ddc25f3c26328eca9311e0b1187f
Posted 6 hours ago

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