Accelerator Data Scientist (Paris)
*L
- ocation: Paris**H
- ybrid: 60% office, 40% remote**P
- ermanent, Fulltime***Main responsibilities:**
- Gather relevant data from various sources, and perform relevant analysis to propose and implement relevant data models for each business case
- Apply statistical methods and machine learning techniques to extract insights from datasets
- Design, implement and fine-tune AI/ML models using various algorithms and tools
- Presenting findings through clear and informative charts, graphs, and dashboards
- Support senior team members in understanding business teams requirements, and translate them into technical needs
- Staying updated with the latest trends, tools, and techniques in the field of data science
You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment. **Experience:**
- Experience of handling data science projects in varied business contexts, with experience in healthcare being a strong plus
- Experience in developing deployable models and AI solutions
- Demonstrated ability to perform exploratory data analysis and create visualizations
- Experience in production-ready software development**Soft skills**:
- Strong curiosity and eagerness to learn new concepts and technologies
- Good communication skills, both written and verbal
- Problem-solving ability and analytical thinking
- Attention to detail in data handling and analysis
- Ability to contribute to a diverse and inclusive team environment
- Willingness to ask questions and seek guidance when needed
- Presentation skills for sharing data insights with team members**Technical skills**:
- Strong knowledge within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, time series forecasting, Bayesian statistics, optimization
- Proficient in Python programming and familiarity with big data concepts and tools
- Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
- Ability to use standard visualization tools to create reports and dashboards (such as Tableau, Power
BI, etc.)* Awareness of responsible AI principles and AI regulations* Knowledge of software development practices and version control (e.g., Git)**Education**: Preferred qualifications: Master’s Degree or Ph
D in mathematics, computer science, engineering, physics, statistics, or a related quantitative discipline with strong coding skills
- We provide a highly collaborative environment, with an opportunity to work with a world class team.
- Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health.
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
- Play an instrumental part in creating best practice within our manufacturing facility
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