
Lead Data Scientist
巴塞罗那, 西班牙 Permanent 发布于 Apr. 08, 2025 申请截止于 Apr. 25, 2025About the Digital GBUs
Sanofi’s Digital organization’s mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. Through custom developed AI products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites. The team is located in major hubs in Paris, Lyon, Barcelona, Cambridge, Bridgewater, Toronto and most recently Budapest and Hyderabad. Join a dynamic, fast paced and talented Barcelona team, with world class mentorship, using AI to chase the miracle of science.
About Growing with us
In this role you will develop globally scalable AI solutions (conventional AI & Generative AI) that are strategically prioritized by the Sanofi commercial area across Global Business Units (Pharma & Vaccines) for the betterment of our global patients and customers. Examples of AI projects include, but are not limited to, Next Best action driven Omnichannel Engagement, Leverage data & AI to identify Patient, enhanced & personalized Patient experience, Marketing Mix Model, AI Alerts to proactively identify the growth opportunities and Market dynamics product lines. You will specifically:
- Planning and overseeing data science projects
- Managing and mentoring a team of data scientists
- Work closely with product owners, developers, engineers, and MLOps to deliver AI/ML solutions
- Apply data science expertise in machine learning, LLM, deep learning, statistics, text-mining/NLP, forecasting and optimization to multiple analytics projects
- Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies
- Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models
- Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products
- Adhere to and promote to best practices and standards for data science process (including documentation) and code developments
- Remains up to date with industry practices and emerging technologies such as generative AI and test creative ways of offering AI solutions to enhance existing solutions
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About you
Key Functional Requirements and qualifications:
- Experience in leading the data science projects and working closely with data scientists, data Engineers, MLOps and data analysts
- Identify and manage blockers, risks, and interdependencies across Agile teams
- Excellent written and verbal communication, business analysis, data visualization and data storytelling skills
- Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML
- Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, LLM, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
- Experience creating and deploying code libraries using functions, classes in Python in AI product-focused development under an agile environment
- Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
- Experience in production-ready software development
- Experience in communicating with business, expressing important DS concepts in a non-technical way, interpreting feedback from business
- Nice to have experience in life sciences and healthcare and experience in a complex global organization
- A demonstrated ability to work and collaborate in a team environment
- Ability to work in a fast-paced, constantly evolving environment and to manage multiple priorities
- Fluent in English (Other languages a plus)
Key Technical requirements and qualifications:
- PhD in computer science, mathematics, physics, statistics or a related quantitative discipline with strong coding skills with 3+ years of analytical experience, OR Master’s Degree in relevant domain with 6+ years of analytical experience
- Expertise with core data science languages (predominantly with Python, and nice to have R & Scala), experience working with Snowflake and other different database systems (such as SQL, NoSQL)
- Deep understanding of tech stack to manage end-to-end AI product life-cycle
- Should have experience of AI/ML development (CI/CD, Orchestration) those can be scaled
- Experience working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies for building AI-solutions
- Experience of playing with LLMs and the relevant GenAI application build environment
- Knowledge of Tableau, Power BI, Plotly, git/version control systems or similar
- Experience with various enterprise-level Application Programming Interfaces (APIs)
- Nice to be already involved in an Agile/Scrum environment and Comfortable utilizing tools like Jira & Confluence
- Nice to have experience in using some data science tools such as datarobot, dataiku, Alteryx
When joining our team, you will experience
- An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
- An attractive, market-oriented salary and cafeteria benefits
- Flexible home office policy, with a possibility to work up to 60% of time from home / where you can easily schedule your office days
- Work from an "Office of the Year 2020" finalist office
- Collective life and accident insurance
- Yearly medical check-up
- Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others
- An individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks
- Your own career path within Sanofi. Your professional and personal development will be supported purposefully
Pursue Progress. Discover Extraordinary.
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
#Sanofi #WeNeverSettle #SanofiCareers #PursueProgress #DiscoverExtraordinary #joinsanofi #careerswithpurpose #Barcelona
At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
#LI-Hybrid
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进步需要我们每个人的参与——不论其背景、地域、或职业,我们都有一个共同的愿望:创造奇迹。你也可以成为其中的一员。我们不断追求变革,拥抱新思想,探索我们所能提供的一切机会。让我们一起追求进步。共同发现非凡。
在赛诺菲,不分种族、肤色、血统、宗教、性别、国籍、性取向、年龄、公民身份、婚姻状况、残疾或性别认同,我们为所有人提供平等的机会。
观看 “在赛诺菲的一天” ,并在官网 (sanofi.com) 上查看赛诺菲的多元化、公平与包容倡议!

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我们的产品设计师负责帮助人们提高免疫力,物流专家负责将药物送到需要的人手中,而数据分析师则借助先进的技术改善人们的生活。在医疗健康领域,每一次进步都离不开所有人的努力。您可以自由选择自己的职业发展道路。Gig零工项目将帮助您尝试更多岗位,个性化指导将为您挖掘自己从未被发现的优势。加入我们,开启菲凡的职业发展之路。您到底可以走多远?让我们拭目以待!
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我们的故事
我们关注每一个员工的声音。因为,我们的未来取决于所有员工的付出与努力。正因为他们的助力,我们才能追求远大的理想。
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我们希望您以饱满的热情投入到自己的工作岗位中,给全球数百万人带来美好生活。您的职业发展道路由您自己来掌控。您只管制定目标,我们会提供充足的培训机会和支持,让您得偿所愿。
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想要改变自己的生活,乃至改变全球数百万人的生活,该怎么做?加入我们,开启职业新篇章,然后在我们的保驾护航中展翅高飞,并向优秀的人求教,为这份事业做出切实的贡献。
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为什么选择我们?
我们为您提供各种工具、支持和培训机会,帮助您实现自己的目标。我们也希望您充分发挥潜力,帮助我们实现目标:将新药研发到临床治疗的时间减半。