Data Science Manager - Industrial Affairs

Key Skills

Python Programming, SQL, Agile methodologies, API, AWS, PowerBI, Scala Programming, Machine learning techniques, A/B Testing, Bayesian networks, Data Visualization, Deep Learning, NoSQL, Reinforcement Learning, Tableau, Continuous Integration & Continuous Delivery - CI/CD, Google Cloud Platform (GCP), AI technology, R Programming, plotly, SPARK Programming, Databricks, Forecasting, Time series, Supervised learning, Unsupervised learning, Federated learning, Simulation software, Effective communication skills

Job Description

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

About Industrial Affairs:

Industrial Affairs is the bridge between R&D and the patients we serve, an essential link in enabling us to bring the best of our scientific discoveries, breakthrough medicines to people around the world. It encompasses several key functions including manufacturing, supply chain, product quality and controls.

Who You Are:

You are a dynamic data science leader 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. You are a people manager invested in career growth and development of globally located teams.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI-first organization. This means:

• AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
• Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.
• World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets

ROLE HIGHLIGHTS:

• Lead global team of data scientists spread across build of various AI products
• Apply data science expertise in machine learning, statistics, text-mining/NLP, forecasting and optimization to multiple analytics projects in the Industrial Affairs space, including Manufacturing, Supply Chain, Quality.
• Manage data science models, algorithms, simulations, and experiments, and maintain high codebase and documentation quality
• Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models
• Use data analysis, visualization, slide-based storytelling, and data technologies to scope, define and deliver AI-based data products, as well as communicate insights
• Work with product owners, scrum masters, software developers, engineers, and MLOps to deliver full-stack AI/ML solutions.

KEY FUNCTIONAL REQUIREMENTS AND QUALIFICATIONS:

• 6+ years of hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
• 2+ years of experience in directly managing data science and analytics teams
• Expertise with majority of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization methods, A/B testing, simulation techniques
• Experience managing development and delivery of 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, Apache Spark)
• 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
• Nice to have: Experience in life sciences, healthcare and experience in a complex global organization

KEY TECHNICAL REQUIREMENTS AND QUALIFICATIONS:

• PhD in Mathematics, Computer Science, Engineering, Physics, Statistics, Economics, or a related quantitative discipline with 6+ years of Analytics experience, OR Master’s Degree in relevant domain with 8+ years of Analytics experience
• Expertise with core data science tools (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL)
• Disciplined AI/ML development (CI/CD, Orchestration)
• Knowledge of Tableau, Power BI, Plotly or similar visualization platforms
• Experience with various enterprise-level Application Programming Interfaces (APIs)
• Experience in Industrial Affairs systems and data including Supply Chain, Manufacturing, Quality

As a healthcare company and a vaccine manufacturer, Sanofi has an important responsibility to protect individual and public health. All US based roles require individuals to be fully vaccinated against COVID-19 as part of your job responsibilities.

Fully vaccinated, according to the CDC, an individual is considered to be “fully vaccinated” fourteen (14) days after receiving (a) the second dose of the Moderna or Pfizer vaccine, or (b) the single dose of the J&J vaccine. Fully vaccinated, for new Sanofi employees, is to be fully vaccinated 14 DAYS PRIOR TO START DATE.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.