Data Scientist
Company: Sanofi
Location: Cambridge
Posted on: May 11, 2022
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Job Description:
Title: Data ScientistReference: R2635300About Sanofi:We are an
innovative global healthcare company, driven by one purpose: we
chase the miracles of science to improve people's lives. Our team,
across some 100 countries, is dedicated to transforming the
practice of medicine by working to turn the impossible into the
possible. We provide potentially life-changing treatment options
and life-saving vaccine protection to millions of people globally,
while putting sustainability and social responsibility at the
center of our ambitions.Sanofi has recently embarked into a vast
and ambitious digital transformation program. A cornerstone of this
roadmap is the acceleration of its data transformation and of the
adoption of artificial intelligence (AI) and machine learning (ML)
solutions, to accelerate R&D, manufacturing and commercial
performance and bring better drugs and vaccines to patients faster,
to improve health and save lives.Who You Are: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.Our vision for digital, data analytics
and AIJoin us on our journey in enabling Sanofi's Digital
Transformation through becoming an AI-first organization. This
means:AI Factory - Versatile Teams Operating in Cross Functional
Pods: Utilizing digital and data resources to develop AI products,
bringing data management, AI and product development skills to
products, programs and projects to create an agile, fulfilling and
meaningful work environment.Leading Edge Tech Stack: Experience
build products that will be deployed globally on a leading-edge
tech stack.World Class Mentorship and Training: Working with
renowned leaders and academics in machine learning to further
develop your skillsetsThere are multiple vacancies across our
Digital profiles and NA region. Further assessments will be
completed to determine specific function and level of hired
candidates. Job Highlights: Apply data science expertise in machine
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 with developers, engineers,
and MLOps to deliver AI/ML solutions.Key Functional Requirements &
Qualifications: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, optimizationExperience developing
deployable code and deploying models in product-focused development
under an agile environmentComfortable working in cloud and
high-performance computing environments (e.g. AWS, GCP, Databricks,
Apache Spark)Experience in production-ready software
developmentExcellent written and verbal communication, business
analysis, data visualization and data storytelling skillsA
demonstrated ability to work and collaborate in a team
environmentNice to have: Experience in life sciences and healthcare
and experience in a complex global organizationKey Technical
Requirements & Qualifications:PhD in mathematics, computer science,
engineering, physics, statistics, economics, or a related
quantitative discipline with strong coding skills, OR
Master'sDegree in relevant domain with 4 years of analytical
experienceExpertise with core data science languages (such as
Python, R, Scala), and familiarity with different database systems
(e.g. SQL, NoSQL)Disciplined AI/ML development (CI/CD,
Orchestration)Knowledge ofTableau, Power BI, Plotly or
similarExperience with various enterprise-level Application
Programming Interfaces (APIs)As a healthcare company and a vaccine
manufacturer, Sanofi has an important responsibility to protect
individual and public health. All US based roles require
individuals to be fully vaccinated against COVID-19 as part of your
job responsibilities.According to the CDC, an individual is
considered to be "fully vaccinated" fourteen (14) days after
receiving (a) the second dose of the Moderna or Pfizer vaccine, or
(b) the single dose of the J&J vaccine. Fully vaccinated, for
new Sanofi employees, is to be fully vaccinated 14 DAYS PRIOR TO
START DATE.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.DDBPDNAt 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.PDN-96129e26-5b4b-4447-a11f-40920e4c11b7
Keywords: Sanofi, Cambridge , Data Scientist, Other , Cambridge, Massachusetts
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