Hybrid Data Scientist, Optimization

at IFF

• Job title: Data Scientist, Optimization
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Azure, Cloud, Keras, Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, Skofja Vas, Slovenia

About the role

• Data Scientist exploring complex, high-dimensional datasets at IFF, focusing on predictive and optimization models. Collaborate across teams to enhance flavor creation insights with practical outcomes.

Responsibilities

• Explore complex, high-dimensional datasets, developing and validating predictive and optimization models.
• Collaborate closely with cross-functional experts in various fields related to flavor creation to bridge data-driven insights with practical outcomes.
• Monitor advancements in data science and ML/AI, conduct competitive analysis, and identify opportunities for innovation.
• Test new techniques, tools, and technologies to drive continuous improvement and stay current with industry & academic developments.
• Partner with operations, marketing, and R&D to understand business needs and deliver impactful, data-driven solutions.
• Explore large datasets to uncover patterns, trends, and insights that inform strategic decisions.
• Build and implement ML/AI models using leading frameworks to solve business challenges such as optimization, prediction, and forecasting.
• Document and present findings, best practices, and methodologies to foster collaboration and continuous learning.
• Work with structured and experimental datasets while adhering to data governance and compliance standards.
• Utilize cloud computing environments (AWS, Azure, Google Cloud) for scalable data solutions.
• Incorporate principles of flavor chemistry, sensory evaluation, and experimental design into data-driven approaches.

Requirements

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field with strong foundations in mathematical and statistical modeling.
• Minimum 8 years of experience in data science, ML/AI, optimization techniques (e.g., linear/nonlinear programming, Bayesian optimization, or multi-objective optimization), statistical modeling, computational chemistry, or related areas.
• Hands-on experience with complex datasets, ideally within the chemical or manufacturing industry, including data preprocessing, feature engineering, and model evaluation.
• Proven expertise in experimental design and optimization of complex systems, with practical experience deploying ML/AI models using popular frameworks (TensorFlow, PyTorch, Scikit-learn, or Keras).
• Proficiency in one or more programming languages (Python or R)
• Strong understanding of statistical principles, hypothesis testing, and advanced modeling techniques; familiarity with cloud platforms (AWS, Azure, Google Cloud) is a plus.
• Ability to collaborate effectively across disciplines and work closely with subject matter experts (chemical and flavor specialists).
• Excellent communication skills—able to translate complex technical concepts for both technical and non-technical stakeholders; fluency in English required, additional languages preferred.
• Demonstrated project management skills with timely decision-making and ability to thrive in a multicultural, highly diverse environment.
• Strong customer focus, problem-solving ability, creativity, and adaptability when dealing with ambiguity.
• Drive for results and commitment to continuous learning and innovation in data science and cognitive technologies.

Benefits

• Be part of a mission-driven culture where your work truly makes a difference.
• Join a team that values individuality and fosters collaboration.
• Drive digital transformation in a global manufacturing environment.
• Access to cutting-edge technologies and tools and opportunities for learning, career advancement, and personal growth.
• Enjoy competitive compensation and benefits designed to support your well-being.