Machine Learning Scientist (m/f/d)

WELCOME TO BASF

We are the world's leading chemical company because we offer intelligent solutions for our customers and for a sustainable future. We connect and develop people with diverse talents all over the world. For you, this means a variety of ways to advance. Not only your performance but also your personality matter to us, without regard to gender, age, origin, sexual orientation, disability or belief. At BASF, careers develop from opportunities.

Agriculture plays a fundamental role in fulfilling many of humanity's basic needs: food, feed, energy. To support growers and those who take care of our environment, BASF develops innovative solutions for farming, pest control and landscape management -so that we can effectively contribute to improving people's lives and business' demands. Come join us on our journey to create solutions for sustainable agriculture at the BASF Innovation Center Gent. 

WHAT YOU CAN EXPECT

• You design, develop, and implement machine learning models to tackle complex problems and enhance existing solutions.
• You analyze large and heterogenous datasets to extract meaningful insights and ensure data integrity for analysis.
• You primarily support Seeds & Traits Predictive Breeding activities while collaborating with multiple stakeholders across the Agricultural Solutions organization and Computational Biology.
• You leverage your broad understanding of computational biology to drive the development of strategic modeling capabilities that meet Agricultural Solutions business needs.
• You collaborate with cross-functional teams, including data engineers and other members, to understand data requirements and integrate machine learning solutions into various products and services.
• You drive and implement machine learning and modeling best practices within the Computational Biology group.
• You perform data engineering and processing as part of machine learning projects.

WHAT YOU OFFER

• You have a Master’s or PhD in Computer Science, Statistics, Data Science, Applied Mathematics, or a related field.
• You have 3+ years of experience in machine learning and deep learning, focusing on optimizing models through hyperparameter tuning.
• You have proven experience in deploying and managing models while adhering to MLOps principles.
• You possess expertise in developing, testing, and optimizing machine learning models to enhance performance and scalability.
• You have experience in conducting research to push the boundaries of machine learning, documenting all processes to ensure reproducibility, and stay updated with the latest technological advancements.
• You are familiar with data in computational biology, including nucleic acid or protein sequence data, genomic data, and related fields.
• You have proficiency in multiple coding languages, such as Python, R, and shell scripting, as well as relevant frameworks.
• You are an expert with machine learning frameworks such as Scikit-learn, PyTorch, TensorFlow, and Python libraries related to MLOps, like MLFlow and FastAPI.
• You have strong communication skills, enabling you to effectively interact with both technical and non-technical audiences.
• Knowledge of (computational) biology, genetics and plant breeding is a plus.

WHAT WE OFFER

• A permanent contract within an attractive working environment in a professional and motivated team.
• A role with challenging assignments and responsibilities.
• An attractive base salary in relation to your diploma and competencies, an annual bonus and extra-legal benefits.

HOW TO REACH US

If you need more information about the process or the vacancy, you can reach our recruiting team here. 

Diversity is our greatest strength!

Become a part of our winning formula for success and develop the future with us - in a global team that embraces inclusion and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.