Data Scientist

Key Skills

Aartificial intelligence, AWS, Azure, Data science techniques, Data Visualization, Deep Learning, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), NoSQL, PowerBI, Python Programming, SQL, Tableau

Job Description

In this role you will develop globally scalable AI solutions that are strategically prioritized by the Sanofi commercial area across Global Business Units (General Medicine, Vaccines and Specialty Care) for the betterment of our global patients and customers. Examples of AI projects include, but are not limited to, Omnichannel Engagement, Predicting Next Best Action, Marketing Mix Model, Smart AI Alerts. You will specifically,

• Apply data science expertise in machine learning, 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
• Work closely with product owners, developers, engineers, and MLOps to deliver AI/ML solutions
• 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

About you

Key Functional Requirements and qualifications:

Education

• PhD in computer science, mathematics, physics, statistics or a related quantitative discipline, OR Master’s Degree in relevant domain with 6+ years of analytical experience

Experience

• 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, 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
• 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)
• Should have experience of AI/ML development (CI/CD, Orchestration)
• Experience working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies for building AI-solutions
• Knowledge of Tableau, Power BI, Plotly, git/version control systems or similar
• Experience with various enterprise-level Application Programming Interfaces (APIs)
• Nice to have experience in using some data science tools such as datarobot, dataiku, Alteryx

​Soft skills

• Excellent written and verbal communication, business analysis, data visualization and data storytelling skills
• 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

Languages

• Fluent in English (Other languages a plus)

Why choose us?

• 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