Lead Data Scientist

About Envalior

Envalior is a new materials powerhouse, launched in early 2023, with a combined heritage of over 100 years from DSM Engineering Materials and LANXESS High Performance Materials. We aim to be a global leader in sustainable and high-performance engineering materials, shaping the future by innovating for today and tomorrow. We are committed to creating a better world guided by our core values.

About the Role

Envalior is seeking a skilled Data Scientist to join our Data & AI Center of Excellence in Düsseldorf. This pivotal role focuses on enhancing data quality at scale and developing advanced analytics, predictive models, and decision-support tools. You will be instrumental in driving Envalior's transformation into a data-driven enterprise by producing insights that influence strategic decisions, improve forecasting, reduce waste, and boost global productivity.

Main Responsibilities

• Conduct in-depth exploration, analysis, and correction of complex datasets to improve data completeness and quality within source systems.
• Develop analytical tools to pinpoint harmonization gaps in Envalior's data and process infrastructure.
• Construct models for complex datasets to generate predictive, prescriptive, and explanatory insights that support global business functions.
• Collaborate with Data Architects and MDM Experts to define data requirements and ensure the utilization of approved, high-quality data sources.
• Manage and monitor the entire model lifecycle, including performance metrics, drift detection, retraining schedules, and compliance documentation.
• Ensure all developed models adhere strictly to ethical AI principles, fairness standards, and relevant regulatory mandates.

Requirements

• Master's degree or PhD in Data Science, Computer Science, Applied Mathematics, Econometrics, or a related Engineering field.
• A minimum of 5 to 10 years of professional experience in data science or a related field.
• Proven experience in advanced modeling techniques.
• Expert proficiency in Python and Machine Learning Operations (ML Ops).
• Demonstrated experience in analytics engineering.
• Strong capabilities in data storytelling and communicating complex findings.
• Solid business acumen to understand and address business challenges.

Benefits

• Competitive compensation package, including a global bonus program and performance-based bonuses.
• Comprehensive benefits supporting financial security, health, and overall well-being, such as retirement plans, health programs, life insurance, and medical care.
• Support for work-life balance and flexibility.
• Extensive training and development opportunities, including coaching and mentoring, to foster professional and personal growth.
• A diverse and inclusive working environment that promotes belonging, openness, and respect, valuing every individual's potential.

Additional Information

Envalior is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or any other legally protected characteristic. If you require assistance or accommodation due to a disability, please contact [email protected]. For questions, you can reach out to recruiter Anne Thomas at [email protected].