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Data & AI Scientist Job Opening In Poissy – Now Hiring Mopar


Job description

Nous rejoindre, c'est intégrer une entreprise d'envergure mondiale.

Mû par la recherche permanente de l'innovation et de l'excellence, pionnier et leader des technologies propres et de la mobilité durable, le Groupe entend rester à la pointe des grandes tendances qui font bouger le monde.
Fort de son efficience, de son agilité et de son esprit d'équipe, le Groupe fait preuve d'exigence et d'audace pour définir la mobilité de demain.

Pour réussir ces transformations, l'entreprise a besoin de tous les talents.

Rejoignez-nous ! Chez Stellantis, nous évaluons les candidats selon leurs qualifications, leurs mérites et les besoins du métier.

Nous accueillons les candidatures des personnes de tout genre, âge, ethnie, nationalité, religion, orientation sexuelle, et handicap.

La diversité de nos équipes nous permettra de mieux appréhender l'évolution des besoins de nos clients et de notre environnement futur.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, Purchasing…) He/She will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams.

He/She 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.

MISSIONS
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)Please submit your application, including your CV in English.

Soft skills
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
Ability to communicate and summarize technical topics for non-technical audience (incl.

leadership)
Tech skillsMain skills
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
Programming in Python (Scikit-learn, Numpy, Pandas, …)
Deep learning frameworks (Pytorch, Tensorflow, …)
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 Other skills
AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated
Palantir Foundry platform Profile
Master in Data Science / Computer Science [PhD is a plus]
Seniority: 3+ yrs of experience

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Data AI Potential: Insight & Career Growth Guide


Real-time Data AI Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data AI in Poissy, France, highlighting market share and opportunities for professionals in Data AI roles.

3618 Jobs in France
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49 Jobs in Poissy
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Are You Looking for Data & AI Scientist Job?

Great news! is currently hiring and seeking a Data & AI Scientist to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Mopar adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying France laws and regulations

What Is the Average Salary Range for Data & AI Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Poissy. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data & AI Scientist?

Key qualifications for Data & AI Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data & AI Scientist?

To improve your chances of getting hired for Data & AI Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data & AI Scientist Job Success

Mopar interview tips for Data & AI Scientist

Here are some tips to help you prepare for and ace your Data & AI Scientist job interview:

Before the Interview:

Research: Learn about the Mopar's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data & AI Scientist interview at Mopar, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Mopar's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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