Sanofi Group Data Scientist in Cambridge, Massachusetts
At Sanofi we are bringing together Data Scientists to propel Sanofi into its digital transformation by deploying Artificial Intelligence throughout its business. Data Science is being driven from an inspiring Digital organization with a core mission of helping the company to create data products and methods that enable teams to better work with our data. The data scientists have a key role in driving business insights, innovating how we engage with customers and employees, automating business processes, and maximizing patient impact. This data science team is already making a difference and is expanding – with multiple roles, in multiple locations.
A Data Scientist II is interested in sharpening and expanding their Data Science experience, and will have a keen ability to understand and answer questions through customer data. He/she will develop models & AI products applied to a broad range of business use cases related to commercial and customer analytics. Results of this work will be realized in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, and APIs.
Data Scientist II Responsibilities:
Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based solutions
Apply data science expertise to multiple commercial and customer analytics projects.
Apply domain understanding of individual-level data and/or marketing data sources, including data regarding media and digital audiences, ad-tech and digital clickstream to attribute sales and operations impact
Build models, algorithms, simulations, and performance evaluation by writing highly optimized, deployable code and using state-of-the art machine learning technologies
Work on full spectrum of activities from conducting experiments to delivering production-ready models
Work with developers, engineers, and MLOps to deliver AI / ML solutions.
Degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline and 3+ years of analytical experience in an industrial or commercial setting, or PhD with relevant work & domain.
Experience AI / ML modeling of complex datasets
Visual analytics and/or data story telling with Tableau or other
Knowledge of some customer-focused modeling approaches (Market Mix Models, demand forecasting, elasticity modeling, mixed effects modeling, reinforcement modeling, markov simulations)
Expertise with the core data science languages (such as Python, R, Scala), and familiarity & flexibility with database systems (e.g. SQL, NoSQL)
Comfortable working in cloud and high-performance computational environments (e.g. AWS, Apache Spark, Databricks)
Excellent written and verbal communication, business analysis, and consultancy skills
Experience with Tableau or Power BI
Disciplined AI / ML development (CI / CD, Orchestration)
Experience using optimization solvers (LP, QP, MILP…)
This role will be situated and aligned with the Sanofi Data Science job function and role.
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.
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 and provide equal opportunity for all.