Stellantis

Data & AI Scientist

Stellantis • $100K — $130K *
Auburn Hills, MI 48326In-Person
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Business, Information Systems, Computer Science, or related field
  • Minimum 5 years of experience in IT Systems
  • Proven experience as a Business Analyst in ICT-driven environments
  • Strong skills in requirements gathering, documentation, and stakeholder management
  • Experience collaborating with cross-functional teams using agile or hybrid delivery models
  • Excellent communication, analytical, and problem-solving skills

Responsibilities

  • Partner with stakeholders to define objectives, KPIs, and success criteria
  • Frame business problems into analytical and AI use cases
  • Develop hypotheses and recommend effective analytical approaches
  • Communicate insights and recommendations to diverse audiences
  • Explore and assess data quality, and collaborate on remediation
  • Design feature engineering and data transformation pipelines
  • Select algorithms and evaluation metrics for model development
  • Execute experiments including A/B testing and offline validation
  • Train and validate models with a focus on robustness and bias
  • Monitor models in production for quality and performance
  • Collaborate with teams for data access, deployment, and compliance

Benefits

  • Flexible working arrangements
  • Opportunities for continuous learning and professional development
  • Collaboration with diverse and cross-functional teams
  • Focus on innovative solutions using cutting-edge AI technology
  • Engagement with meaningful projects that drive business impact
Full Job Description
Mission
The Data Scientist designs, develops, and deploys data-driven and AI-powered solutions that create measurable business value. This role translates complex business challenges into analytical frameworks, builds scalable models (statistical, machine learning, and generative AI), and partners with cross-functional teams to drive impactful outcomes.

Key Responsibilities

Translate Business Needs into Data & AI Solutions
  • Partner with business stakeholders to define objectives, KPIs, constraints, and success criteria.
  • Frame problems into analytical and AI use cases (e.g., descriptive analytics, forecasting, optimization, NLP/GenAI, computer vision).
  • Develop hypotheses and recommend the most effective analytical approach.
  • Communicate insights, findings, and recommendations clearly to both technical and non-technical audiences.

Build High-Quality Data Foundations
  • Explore, profile, and assess data quality; identify gaps and collaborate with Data Engineers on remediation.
  • Design and implement feature engineering pipelines and reusable data transformations.
  • Ensure proper documentation, data lineage, and governance standards are followed.

Develop and Optimize Models & Experiments
  • Select appropriate algorithms, baselines, and evaluation metrics.
  • Design and execute experiments (A/B testing, back testing, offline validation).
  • Train, tune, and validate models while assessing robustness, bias, drift, and explainability.
  • Develop and evaluate Generative AI solutions (prompt engineering, RAG architectures, fine-tuning where applicable) with appropriate safety and quality controls.
  • Partner with Tech Leads and Data Engineers to productionize solutions (pipelines, CI/CD, model registry, monitoring).

Drive Business Impact & Model Lifecycle Management
  • Define and track model performance KPIs (accuracy, business impact, latency, cost).
  • Monitor models in production, including data quality, drift, and system performance.
  • Continuously improve models through iteration and retraining strategies.
  • Ensure adherence to Responsible AI standards, including documentation, traceability, privacy, and security.

Collaborate Across Cross-Functional Teams
  • Work closely with Data Engineers, Data Analysts, Product Owners, Tech Leads, and business stakeholders.
  • Coordinate with ICT, infrastructure, and security teams for data access, environments, deployment, and compliance.
  • Contribute to both Build (data ingestion, transformation, ML/AI/GenAI development) and Run (monitoring, incident management, continuous improvement) activities.


Required Qualifications
  • Bachelor's degree in Business, Information Systems, Computer Science, or a related field.
  • Minimum 5 years of working experience in IT Systems
  • Proven experience as a Business Analyst within ICT / IT-driven environments.
  • Strong requirements gathering, documentation, and stakeholder management skills.
  • Experience working with cross-functional teams and agile or hybrid delivery models.
  • Excellent communication, analytical, and problem-solving abilities.

About Stellantis

Stellantis is a multinational automotive manufacturer formed in 2021 by the merger of Fiat Chrysler Automobiles and Groupe PSA. The company designs, produces, and sells a wide range of vehicles under various brands, including Alfa Romeo, Chrysler, Citroen, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, and Vauxhall. Stellantis operates in over 130 countries and has 14 brands in its portfolio. The company is committed to sustainable mobility and has set ambitious targets for reducing its carbon footprint and increasing the share of electric vehicles in its sales.
Learn more about Stellantis
Size
400,000 employees
Market Cap
$44.9 billion
Industry
Manufacturing & Automotive
* Ladders Estimates

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