Job Specifications
Hungry for challenges? Join a group with innovation at its heart and contribute to the automotive revolution!
OPmobility is a world-leading provider of innovative solutions for a unique, safer and more sustainable mobility experience. Innovation-driven since its creation, the Group develops and produces intelligent exterior systems, customized complex modules, lighting systems, clean energy systems and electrification solutions for all mobility companies. With a EUR11.4 billion economic revenue in 2023, a global network of 152 plants and 40 R&D centers, OPmobility relies on its 40,300 employees to meet the challenges of transforming mobility.
Our ambition? Provide automakers with cutting-edge equipment and solutions to develop tomorrow's clean and connected car.
The Data Scientist uses its analytical, statistical and programming skills to collect, analyze and interpret large data sets. It is responsible for developing and maintaining data science models to serve digital use cases. It belongs to the Data Center of Excellence, and is detached to domains to work on use-cases in product teams.
Knowledge / Qualification
Degree in Mathematics, Applied Mathematics, Computer Science, Engineering or relevant field; Data Science or other quantitative field is preferred
Previous Experience (If relevant)
Proven Experience as Data Scientist using a variety of data mining/data analysis methods, data tools to build and implement models.
Key technical competencies
Proficiency in Mathematics, Statistics and Machine Learning
Proficiency in Python, R, Spark
Knowledge in small- & large-scale database design, maintenance and querying (SQL & nonSQL, Kafka consumers, ElasticSearch...)
Cloud services
Experience creating and using advanced machine learning algorithms and statistics with open source libraries (ScikitLearn, TensorFlow...): regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
MLOps technologies and experience in moving and maintaining a Machine Learning model in production
Data mining, cleaning, collecting & analysis
Data visualization
Tool building for automation, CI/CD
Interface
Use-case users, Data Office, Data Managers, Center of Excellence, IT, plants
Key behavioral competencies (on top of PO Group competencies)
Effective communicator
Strong analytical skills
Problem-solver
Other Requirements
Strategic understanding on how Data enables business goals
Product Management and agile methodologies
Understanding of PO's technological environment
Interest in data management
Missions
Support data domains to ideate, design & deliver digital use cases using data science models
Maintain models and provide support to data model users
Conduct experimentation and contribute to the Data Science community
Data Science Use-case Delivery
Contributes to use-case ideation, framing & scoping activities under the lead of a Data Manager. In particular,
Identifies data science opportunities lying in the Data Domain
Works with the Data Manager and Data Engineer to frame data needs & data quality
Works with the Data Manager and possibly a designer or a BI engineer to shape the use-case UX & UI for the user to take best advantage of the models
Studies, designs and develops models for analysis, exploitation, prediction and restitution of data
Defines data quality controls to ensure model robustness
Works closely with data engineers on data models & pipelines
Pushes models to production (MLOps)
Use-case Run
Monitors and maintains its models, adopting MLOps best practices, with possible support of IT Operations
Provides support to users on Data Manager demand
Sets up and implements adoption metrics and ML success metrics
Innovation & Data Science community
Performs data science peer reviews in other projects from any Data Domain
Conducts experimentation projects with new models and techniques, sets up demonstrators and POV (Proof of Value) with the business teams
Actively participates in the Data Science community to
Improve data science processes and tools, e.g., MLOps
Share project return of experience
Train peers in advanced data science technologies
Train the data citizen for self-modeling & statistics
As a responsible company, OPmobility pays particular attention to diversity and equality within its teams and the Group commits to treat all job applications equally.
About the Company
OPmobility is a world leader in sustainable mobility and a technology partner to mobility players worldwide. Driven by innovation since its creation in 1946, the Group is today composed of five complementary business groups that enable it to offer its customers a wide range of solutions: intelligent exterior systems, complex modules, lighting systems, energy storage systems and battery and hydrogen electrification solutions. OPmobility also offers its customers an activity dedicated to the development of software, OPn'Soft.
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