Lead Data Scientist WM
Lead Data Scientist WM
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Salary Not Disclosed
1 Vacancy
Job Description
About Lesaffre:
Lesaffre a global leader in fermentation and yeast production is dedicated to harnessing the power of data to drive innovation and create value across diverse sectors from baking to biotechnology. Join our Digital Data and Tech team to be part of a journey that transforms our business through advanced analytics and AI.
Role Overview:
As a Lead Data Scientist at Lesaffre youll play a crucial role in shaping our data science initiatives. Focused on technical and methodological guidance you will work handson to design build and deploy artificial intelligence solutions at scale. With strong expertise in cloudbased data science and ML solutions and a forwardlooking approach to Generative AI youll be instrumental in advancing our AI capabilities across our four transformation pillars: Customer Centricity Corporate Functions Smart Operations and Augmented R&D.
Key Responsibilities:
- Technical Leadership: Provide advanced technical guidance to our data science projects ensuring highquality development and deployment of machine learning models.
- Model Design & Deployment: Lead efforts to design build and deploy machine learning solutions at scale on cloud platforms optimizing for robustness efficiency and scalability.
- Methodological Expertise: Develop and advocate best practices in data science methodology ensuring our approach is rigorous innovative and aligned with business goals.
- Generative AI Innovation: Leverage experience with Generative AI to identify develop and integrate Gen AI solutions that enhance our AI initiatives.
- Collaboration: Work closely with crossfunctional teams including data engineering product governance and business stakeholders to understand requirements and deliver impactful solutions with an agile mindset.
Qualifications :
Education: Masters or Ph.D. in Data Science Computer Science Statistics or a related field.
Experience: At least 7 years of handson experience in data science with a proven track record of designing building and deploying scalable machine learning solutions on cloud platforms. Previous experience in developing data science solutions for industrial applications is highly valued.
Technical Expertise:
- Deep expertise in cloud platforms (Snowflake AWS GCP or Azure) including building and managing data pipelines deploying models and implementing robust monitoring frameworks.
- Strong proficiency in Python SQL and machine learning libraries such as TensorFlow PyTorch and ScikitLearn.
- Handson experience with MLOps practices and CI/CD pipelines for deploying monitoring and maintaining machine learning models in production environments.
- Advanced understanding of Generative AI technologies and demonstrated ability to apply them effectively in practical business contexts.
Analytical Skills: Exceptional problemsolving abilities with a focus on delivering impactful datadriven solutions.
Soft Skills:
- Outstanding communication and presentation skills with the ability to convey complex technical concepts to diverse audiences.
- A proactive and serviceoriented mindset driving collaboration and results.
- A commitment to continuous learning staying abreast of emerging tools methodologies and trends in AI and data science.
- Strong mentoring capabilities with the ability to guide and support junior data scientists and foster collaboration around technical and methodological topics.
- Adaptability to work effectively in a dynamic fastpaced environment with evolving foundations.
Additional Information :
What can Lesaffre offer you:
- We are a successful familyowned company with longstanding history where people truly matter.
- We promote a sense of fulfilment with a genuine mission: nourish and protect the planet.
- An opportunity to work in a real international environment.
All our jobs are open to people with disabilities.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
