Data Scientist

JOB DESCRIPTION

Data Scientist
What can you expect?

Adient (NYSE: ADNT) is a global leader in automotive seating. With 70,000+ employees in 29 countries, Adient operates more than 200 manufacturing/assembly plants worldwide. We produce and deliver automotive seating for all major OEMs. From complete seating systems to individual foam, trim and metal components, our expertise spans every step of the automotive seat-making process. Our integrated, in-house skills allow us to take our products from research and design to engineering and manufacturing — and into millions of vehicles every year. For more information, visit www.adient.com.

We are seeking a Data Scientist to drive advanced analytics and unlock insights from our IT Manufacturing Data Warehouses.

This role focuses on applying statistical and machine learning techniques to support data-driven decision-making. You will collaborate closely with business stakeholders to translate complex data into actionable strategies that improve operational efficiency and innovation.
What will your responsibilities be?

• Advanced Analytics & Modeling: Apply statistical methods and machine learning algorithms to identify trends, predict outcomes, and optimize processes.
• Data Visualization & Storytelling: Build impactful dashboards and reports using Power BI and Grafana, enabling clear communication of insights.
• Data Pipeline Development: Design and maintain robust ETL processes to ensure timely and accurate data availability.
• Data Quality & Governance: Validate and monitor data integrity across systems, implementing best practices for reliability.
• Innovation with AI/ML: Explore and implement AI/ML use cases to drive continuous improvement in manufacturing and business operations.
• Collaboration & Stakeholder Engagement: Work with cross-functional teams to understand business needs and deliver data-driven solutions.

Which qualifications are we looking for in potential employees?

• Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in data analytics, data engineering, or business intelligence, with exposure to machine learning and predictive modeling.
• Programming for Analytics: Skilled in Python for data analysis, machine learning, and automation; familiarity with .NET (C#) for enterprise integration.
• Advanced SQL Expertise: Strong knowledge of Transact-SQL (T-SQL) for complex queries and performance optimization.
• Data Integration & Modeling: Experience with SSIS and SSAS for ETL and multidimensional modeling.
• Cloud & DevOps Practices: Hands-on experience with Azure DevOps Agile processes (Boards, Backlogs, Sprints) and CI/CD pipelines for data solutions.
• Modern Architectures: Knowledge of microservices and containerization using Docker & Kubernetes for scalable data applications.

Preferred Mindset:

• Data Science Mindset: Ability to transform raw data into insights, leveraging statistical methods, predictive modeling, and advanced analytics.
• Strong understanding of business processes and ability to connect data insights to operational goals.
• Clear communicator who can translate technical findings into business language.
• Innovative and forward-thinking, eager to explore emerging technologies.

Adient is committed to equal employment opportunity, diversity and inclusion in the workplace. As a true global company, our leaders and employees come from various cultures across the world. Our diversity is a source of inspiration enabling us to achieve our goals and build an inclusive company culture.

We are looking forward to receiving your application including your salary expectations and your earliest availability date. If you have additional questions, please do not hesitate to contact Dagmar Sováková on +421 257 271 126.

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