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Senior Data Scientist (m/f/d)

Job ID: 40876  |  Location: Munich, Bavaria, Germany
 

Clariant is a focused, sustainable, and innovative specialty chemical company. We connect our customers to value-adding and sustainable solutions for products used in countless everyday applications. Our solutions contribute to our customers' sustainability targets while prioritizing our own. We are committed to creating value through innovation and sustainability for our customers, stakeholders, and the environment.

 

As a Senior Data Scientist (m/f/d), you'll join a growing team tackling real industrial problems across manufacturing, R&D, commercial, supply chain, and other functions. Beyond delivering solutions yourself, you'll define how we structure our data science work, from hypothesis development to deployment, ensuring we solve the right problems in the right way. We're looking for someone with depth across multiple ML paradigms who can match problems to appropriate techniques, stays current with the field, and prefers pragmatic solutions to impressive-sounding approaches.

 

Responsibilities

  • Develop and deploy machine learning solutions across manufacturing, commercial, R&D, and supply chain
  • Translate business pain points into data science solutions that address root causes
  • Define best-practice standards and establish methodology for hypothesis-driven DS development
  • Stay current with ML developments and guide team on emerging techniques and method selection
  • Mentor a team of data scientists through code reviews, approach discussions, and hands-on guidance
  • Drive problem framing and solution architecture in cross-functional teams, challenging assumptions and quantifying value
  • Build robust modular pipelines enabling reusable ML components
  • Review modeling approaches, ensuring scientific rigor and business relevance

 

Requirements

  • Master's or PhD in Data Science, Computer Science, Applied Mathematics, or similar quantitative field
  • 5+ years of experience delivering end-to-end machine learning projects across multiple ML paradigms (supervised/unsupervised learning, optimization, causal inference, etc.)
  • Track record of staying current with ML research and applying novel techniques
  • Experience in industrial or complex problem environments where data quality and constraints matter
  • Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch), SQL, and data orchestration
  • Strong analytical mindset combining structured thinking and pragmatic problem-solving abilities
  • Excellent communication skills with a proactive ownership approach
  • Cloud experience (AWS preferred) & MLOps familiarity is a plus
  • Experience integrating and working with data from complex enterprise systems (ERP, CRM, manufacturing/process systems, quality databases, etc.) is a plus

 

Our Offer

  • The opportunity to make a significant impact through data-driven transformation
  • A collaborative working environment with cross-functional teams
  • Professional development opportunities in a global specialty chemicals company
  • Competitive compensation and benefits package

 

Your Contact
Rodrigo Wintersteller Talent Acquisition Partner EMEA Tel. +49 (0)69/305-80582 #LI-RW1

Clariant is a Swiss-based global specialty chemicals company, which is concentrated and developed in three business units: Care Chemicals, Catalysts and Adsorbents & Additives. Our purpose as a company is reflected in our tagline "Greater chemistry - between people and planet", which considers the principles of customer, innovation and people orientation, as well as a focus on creating solutions to foster sustainability in different industries by offering high-value and high-performance chemical specialties.


At Clariant, we believe that diversity, equity and inclusion are essential to our success. We strive to cultivate a workplace where all employees feel welcomed, respected, supported, and valued. Our diverse workforce allows us to tap into a wealth of perspectives, experiences, and capabilities that drive innovation. We are committed to ensuring equal opportunities for professional growth and advancement across all levels of the organization, based on objective criteria and regardless of gender, gender identity, race, ethnicity, religion, protected veteran status, age, disability, sexual orientation or other aspects of diversity in accordance with the relevant governing laws. By bringing together talented individuals with diverse backgrounds and viewpoints, we gain the agility to meet the evolving needs of our global customers and communities. Join our team to help advance our mission of fostering a culture of belonging where everyone can thrive. 

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