Statistical Data Scientist Lead

Job title:

Statistical Data Scientist Lead

Company:

Sanofi

Job description

Statistical Data Scientist Lead

• Location: Barcelona – Spain
• Hybrid
• Full time

About the jobAt Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.At Supply Chain Business Analytics Center of Excellence, we are on a mission to ensure everyone can harness the power of data in every decision. Our ambition is to transform and disrupt the SC practice to make it data-driven and digitally enabled to simplify, accelerate and improve the impact of the decision-making processes steering for best-in-class SC performance.​We believe in empowering the business with execution visibility, advanced analytics and with interactive data visualizations from multiple data sources. We are seeking a skilled and experienced Statistical Data Scientist Lead to join our Supply Chain Analytics team.You will contribute to empower the life of our patients worldwide by extracting meaning from data and providing tangible and actionable outcomes using the latest available technics and technologies (AI/ML/GenAI).Main responsibilities:

• Contribute to our forecasting capabilities through enhancements, automatization and expansion of our forecasting cycle. Defining statistical forecast automation strategies based on advanced cloud computing
• Connect externally to bring outside in expertise in new technologies and techniques, and also benchmark
• Provide the best possible forecast signal as it drives decisions on the whole supply chain: what/where/when to buy, produce, ship, stock… so that our medicines are available to our patients in time and at the most efficient cost
• Maintain and improve our current forecast engine code base and develop new features to include more statistical or machine-learning based models and algorithms
• Lead innovation projects related to the forecasting cycle and related to increasing the impact of our forecasts within the business
• Work with GBU Leads to integrate relevant transversal data for advanced predictive models including but not limited to Sinergy, finance promotions, patients, launch plan and indications, internal and external BOS and Economic Trends
• Ensure that data is managed/analyzed in compliance with applicable quality, regulatory (Data Privacy, GxP, SOX, etc.) and cybersecurity requirements

About you

• Experience: + 8 years’ experience. Have a broad experience with time series forecasting, in particular on the statistical and machine learning models and algorithms. Experience in Data Science related projects. Developing people with new ways of optimizing internal forecasting process and collecting market intelligence. Previous experience improving forecast accuracy by integrating relevant transversal data for advanced predictive models

• Soft skills: Model business problems into data solutions. Ability to understand and interpret forecasting algorithms. Rounded presentation skills; experience in usage of cloud computing technologies and digital platforms within AI framework. Proven leadership in team management and agile project management. High level of emotional intelligence and business integrity; role model for behaviours consistent with our company values

• Technical skills: program at an advanced level with R and Python. Experience with DevOps/MLOps lifecycle is a plus. SQL, Spark, Docker, AWS experience is a plus

• Education: Degree in Statistics, Computer Engineering, Bioinformatics, Mathematics, Economics or related fields. Master in Supply Chain Management, Engineering or similar preferred. PHD is an asset

• Languages: Fluent in English, and fluency in Spanish and other languages is considered an asset

Why choose us?

• 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
• 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
• Work on Global programs in a truly International and multi-cultural environment
• Work with highly qualified teams using state-of-the-art technologies to shape the future of Sanofi

Pursue Progress. Discover ExtraordinaryProgress 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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.Watch our and check out our Diversity Equity and Inclusion actions at !#LI-EUR#GIC#LI-HybridPursue progress, discover extraordinaryBetter 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, ability or gender identity.Watch our and check out our Diversity Equity and Inclusion actions at !

Expected salary

Location

Barcelona

Job date

Wed, 08 Jan 2025 23:55:58 GMT

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