Senior Data Scientist & Artificial Intelligence

Key Skills

Aartificial intelligence, Algorithms, Apache Hadoop, AWS, Azure, Data Mining, Data science techniques, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, NumPy, Pandas, PowerBI, Python Programming, PyTorch, R Programming, SPARK Programming, Tableau, TensorFlow

Job Description

• Bachelor degree in computer science, data science, statistics, mathematics, artificial intelligence, or a related field
• 5 years of experience in data analysis, predictive modeling, and statistical analysis
• Proven track record of delivering data-driven solutions and generating actionable insights
• Proficiency in programming languages such as Python or R. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Deep understanding of statistical analysis, machine learning algorithms, and data mining techniques. Familiarity with both supervised and unsupervised learning approaches
• Experience with data visualization tools and techniques (e.g., Tableau, Power BI) to communicate complex findings effectively
• Strong problem-solving skills and the ability to translate business requirements into analytical solutions
• Leadership abilities, with experience in guiding and mentoring junior team members
• Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
• Background on Large Language Models and Foundation Models for Generative AI applications
• Strong attention to detail and ability to work with large and complex datasets
• Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously
• Continuous learning mindset and a passion for staying updated with the latest trends and advancements in data science and machine learning
• Fluent in English

Preferred Qualifications: 

• Advanced degree (Master’s or Ph.D.)
• Strong academic background in data science or machine learning
• Knowledge of big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) 

EOE/Disability/Veteran

EOE / Disability / Veteran

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.

Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.

As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.