Accelerator Junior Data Scientist - All Gender

Job: Junior Data Scientist (M/F)Contract Type: Full timeLocation: WeWork - Paris, FranceABOUT THE JOBWho we are in a nutshellWe 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 teamDigital & 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 opportunitiesAwarded “Top Employers France” 2021And more specifically, why “Accelerator powered by Sanofi” ?A new entity launched March 1st to Become the leading Digital Health platformA separate location, in WeWork (Paris 75017), 5 minutes walk away from the future Sanofi HQ locationStartup-like streamlined processes to ensure delivery speedFocused 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, includingDigital 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 pensSymptoms checking apps able to understand disease and track symptomsRemote treatment solutions providing individual recommendations, accessible by anyone, anytime, anywherePersonalized care model informed by AI to identify symptoms’ early signals and recommend corrective actions to the patient and the care giverOmnichannel products supporting multi-channel engagement with healthcare providers & patientsMulti-channel digital targeting platform to deliver tailored digital campaignsMachine learning and predictive analytics to improve engagement (calls, chats) based on feedbackRecommendation engines for cross selling/up-selling and next-best action delivery to sales repsTailored content delivery based on preference and viewing historyDigital Marketing products optimizing marketing campaign’s reach and impactMarket analytics tools to understand key dynamics across categories and identify growth/uplift potentialStrategic allocation tools, able to dynamically model impact of different scenarios and achieve sales targetsTactical allocation tools, with built-in ROI response modelling, at “brand x touchpoint level”ABOUT YOUYou 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 beWork with business teams to understand requirements, and translate them into technical needsApply data science expertise in machine learning, statistics, forecasting and optimization to multiple analytics projectsGather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologiesWork on full-spectrum of activities, from conducting ML experiments to delivering production-ready modelsUse data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data productsWork with developers, engineers, and MLOps to deliver AI/ML solutionsKey Functional Requirements & QualificationExperience developing deployable code and deploying models in product-focused development under an agile environmentExperience in production-ready software developmentExcellent business analysis, data visualization and data storytelling skillsKey Technical Requirements & QualificationsExpertise 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, optimizationComfortable 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 similarExperience with various enterprise-level Application Programming Interfaces (APIs)Soft and behavioral skillsExcellent written and verbal communication skillsExperience working with multiple teams to drive alignment and resultsService-oriented, flexible, positive team playerSelf-motivated, takes initiativeProblem solving & critical thinkingYour background1-3 years of experience in a data team as Data ScientistPhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with years of analytical experienceTrack record of applying machine learning/deep learning approaches to solve molecule-related problemsExperience with database mining, big data, and large-scale virtual screening using Bayesian Optimization or Gaussian Processes is desiredExperience in a healthcare company is a strong plusAt 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.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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