Head of Advanced Analytics

Coders Connect are partnering with Sanofi.

**About Sanofi.**

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.

**Why joining Sanofi Digital?**
- Executive sponsorship and governance, with newly appointed CDO & leadership team
- Digital & data culture in place with agile ways of working and a strong ecosystem (Sanofi Ventures, BD Partnerships)
- Unique diversity of medical & technical challenges, with mobility opportunities
- Awarded “Top Employers France” 2021

**The products you will work on**

We are building next-gen health & digital products, Data Analytics and Artificial Intelligence, including:
**Omnichannel products** supporting multi-channel engagement with healthcare providers & patients:

- Multi-channel digital targeting platform to deliver tailored digital campaigns
- Machine learning and predictive analytics to improve engagement (calls, chats) based on feedback
- Recommendation engines for cross selling/up-selling and next-best action delivery to sales reps
- Tailored content delivery based on preference and viewing history

**Digital Marketing products** optimizing marketing campaign’s reach and impact:

- Market analytics tools to understand key dynamics across categories and identify growth/uplift potential
- Strategic allocation tools, able to dynamically model impact of different scenarios and achieve sales targets
- Tactical allocation tools, with built-in ROI response modelling, at “brand x touchpoint level”

**You as a Head of Advanced Analytics**

**Your key responsibilities will be**:

- Work with business teams to understand requirements, and translate them into technical needs
- Directly engage with external data partners to evaluate and build relationships to acquire and access real-world data assets
- Collect and mine data from disparate data sources, and willing to dig deeper and understand the process that creates the data
- Define and refine how Data Science can accelerate Sanofi digital products, with the goal of using data science to better understand the patient journey and to help us tailor interventions that maximize patient benefit.
- Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data
- Identify opportunities for data-centric AI approaches to enrich R&D models
- Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products to accelerate and optimize R&D
- Understanding and effectively work with a wide variety of data sources, such as unstructured data, omics, wearable device data (for example accelerometry and ECG), voice recordings, imaging data, electronic health records, social media postings or operational data.
- Build models, algorithms, simulations, and performance evaluation by writing highly optimized, deployable code and using state-of-the art machine learning technologies
- Regularly evaluate health of data assets and identify potential impact on downstream analysis
- Manage and train assistants and other members of the team on how to properly organize findings and read data collected
- Lead a team of Data Scientists and ensure end-to-end responsibility of the advanced analytics initiatives portfolio for Consumer Healthcare business unit

**Key Functional Requirements & Qualification**
- Experience developing deployable code and deploying models in product-focused development under an agile environment
- Experience in production-ready software development
- Excellent business analysis, data visualization and data storytelling skills
- Excellent management and articulation of a team of Data Scientists
- Continuous support to help team members throughout their personal and professional development

Key Technical Requirements & Qualifications Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL) Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization Demonstrable experience in multi-channel optimization projects such as Market Mix Modeling, Next-best-action, customer segmentation, etc. Comfortable working in cloud and high-performance computing