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Accelerator - Data Scientist Lead - All Gender

CDI
Paris
Salaire : Non spécifié
Télétravail non autorisé

Sanofi
Sanofi

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Le poste

Descriptif du poste

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l'international, l'anglais étant la langue de travail.

CONTEXT

Who we are in a nutshell

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

And more specifically, why “Accelerator powered by Sanofi”

  • A new entity launched March 1st to Become the leading Digital Health platform
  • A separate location, in WeWork (Paris 75017), 5 minutes walk away from the future Sanofi HQ location
  • Startup-like streamlined processes to ensure delivery speed
  • Focused on end-to-end building the most transformative and profitable products

The products you will work on

We are building next-gen health & digital products, Data Analytics and Artificial Intelligence, including

Digital Health products improving the patient experience and treatment adherence, through innovative digital products (Software as Medical Devices)

  • Connected ecosystem solutions such as patients’ glycemic control & full disease management, leveraging connected pens
  • Symptoms checking apps able to understand disease and track symptoms
  • Remote treatment solutions providing individual recommendations, accessible by anyone, anytime, anywhere
  • Personalized care model informed by AI to identify symptoms’ early signals and recommend corrective actions to the patient and the care giver

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”

JOB PURPOSE

You as a Data Scientist Lead

  • You are a dynamic data scientist 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

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 prodcuts, 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
  • Generate work product that includes interactive visualizations, presentations, publications, web applications, predictive algorithms, and APIs
  • 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
  • Assist and train assistants and other members of the team on how to properly organize findings and read data collected

PROFILE

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
  • Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
  • Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)
  • Knowledge of Tableau, Power BI, Plotly or similar
  • Experience with various enterprise-level Application Programming Interfaces (APIs)

Soft and behavioral skills

  • Excellent written and verbal communication skills
  • Experience working with multiple teams to drive alignment and results
  • Service-oriented, flexible, positive team player
  • Self-motivated, takes initiative
  • Problem solving & critical thinking

Your background

  • 5+ years experiences in a data team as Data Scientist
  • 1+ years experiences managing a Data Scientist team
  • Master's Degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline OR PhD + 3 years of with relevant work & domain experience
  • Track record of applying machine learning/ deep learning approaches to solve molecule-related problems
  • Experience with database mining, big data, and large-scale virtual screening using Bayesian Optimization or Gaussian Processes is desired
  • Experience in a healthcare company is a strong plus

#Accelerator 

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.

As part of its diversity commitment, Sanofi is welcoming and integrating people with disabilities.

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