Senior Data Scientist

About the Company
Opella is the self-care challenger with the purest and third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally. Our mission is to bring health in people’s hands by making self-care as simple as it should be. For half a billion consumers worldwide – and counting. At the core of this mission is our 100 loved brands, our 11,000-strong global team, our 13 best-in-class manufacturing sites and 4 specialized science and innovation development centers.

Headquartered in France, Opella is the proud maker of many of the world’s most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan. As a globally certified B Corp company, we are active players in the journey towards healthier people and planet.

About the Role
You are a senior AI/data scientist who thrives at the intersection of modeling and product thinking, comfortable owning complex problems end-to-end — from framing the business question, to choosing the right modeling approach, to shipping a robust system that stakeholders actually use. You partner closely with engineers, product, and business stakeholders, moving comfortably between deep technical work and stakeholder conversations — translating modeling choices into business trade-offs, and business questions into well-scoped problems.

You enjoy challenging the status quo to make sure Opella's AI solutions are scientifically sound, operationally reliable, and impactful for the patients and consumers of tomorrow.

Responsibilities
Own problems end-to-end: from framing and modeling, through experimentation and productionization, to monitoring and adoption.
Apply expertise in machine learning, statistics, NLP/text-mining, forecasting, optimization, and Generative AI across multiple analytics projects.
Own the full end-to-end lifecycle, from POC to MLOps deployment.
Use data visualization, storytelling, and analytical frameworks to scope, define, and deliver AI-based data products.
Build models, algorithms, simulations, and experiments using high-quality, optimized code.
Execute the full spectrum of ML activities: experimentation → productionization → maintenance.
Collaborate closely with product teams, engineers, developers, and MLOps to deliver scalable solutions.

Qualifications
Educational Background:
Degree, Master and/or PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with 6+ years of analytical experience.

Required Skills
Project management skills focused on data science and machine learning operations.
Experience developing deployable code and deploying models in product-focused development under an agile environment.
Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Azure).
Experience in production-ready software development.
Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
A demonstrated ability to work and collaborate in a team environment.

Preferred Skills
Experience in life sciences and healthcare and experience in a complex global organization.
Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
Establish and drive data hygiene best practice to ensure coherence and integrity of data feeding into production ML/AI solutions.
Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping ertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization.
Previous experience developing data science projects for common business areas such as Marketing, Manufacturing and Supply, Finance.