We are partnering with a global leader in the beauty and consumer goods industry to find a talented data professional who will revolutionize how products are designed and developed. In this role, you will have the unique opportunity to turn complex datasets into actionable insights, directly influencing product innovation and business decisions. In this role, you will gain access to premier career opportunities with top-tier brands, positioning yourself at the forefront of cutting-edge AI and machine learning advancements.
The Opportunity
In this dynamic position, you will bridge the gap between advanced data science and real-world product development. You will own projects from initial problem framing to final deployment, working autonomously to build predictive machine learning models and state-of-the-art Generative AI solutions. Your work will empower teams to make data-driven decisions, optimize formulation processes, and accelerate the launch of next-generation products.
Key Responsibilities
- Design, develop, and deploy predictive machine learning models, including regression, classification, clustering, time series, and forecasting, on structured data.
- Architect and implement GenAI-based solutions utilizing retrieval-augmented generation (RAG), AI agents, prompt engineering, and model fine-tuning.
- Evaluate business problems to select the optimal approach (predictive ML vs. GenAI) based on performance, cost, and business value.
- Monitor and evaluate production models to manage performance, drift, hallucinations, bias, and operational costs.
- Collaborate closely with Data Engineers to explore, clean, and analyze large structured and unstructured datasets.
- Translate complex business needs into measurable solutions and present insights through interactive dashboards and compelling storytelling.
- Proactively identify and propose innovative data and AI use cases to drive business growth.
What You Bring
- Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a closely related quantitative field.
- At least 3 years of hands-on experience in data science, with a proven track record of implementing both predictive ML and GenAI in real-world projects.
- Strong proficiency in Python, solid statistical foundations, feature engineering, model validation, and experimentation.
- Deep understanding of GenAI concepts, including prompt engineering, retrieval-augmented architectures, vector databases, and GenAI evaluation frameworks.
- Advanced SQL skills, experience with data visualization tools (such as Power BI or Tableau), and proficiency with Git.
- Excellent communication skills, with the ability to explain complex technical results and AI limitations simply to non-technical and scientific stakeholders.
- Strong autonomy, proactivity, and a collaborative mindset to thrive in a fast-paced environment.
- Fluency in English.
Preferred Qualifications
- Experience working within a scientific or regulated domain, such as pharmaceuticals, cosmetics, R&D, formulation, ingredients, or clinical/consumer studies.
- Experience with fine-tuning, agentic workflows, and MLOps/GenAIOps.
- Familiarity with cloud platforms (Azure, GCP, or AWS) and big data technologies like Spark or Databricks.
- Proficiency in French is a plus.
#LI-Hybrid
