Data Scientist

Data Scientist


Data Scientist

Detalles de la oferta

Reporting to the Head of Enterprise Information Management Data Science, this role will help find solutions to complex analytical problems spanning all divisions of Sanofi.
The role will engage across a variety of health, life sciences and commercial areas including population health, behavioral economics, natural language processing, time-series analysis, computational biology and cloud computing, among others.
The right candidate will have a passion for discovering solutions hidden in large and heterogeneous data sets, working with stakeholders to improve business outcomes, and must be comfortable working with a wide range of stakeholders and functional teams.
The candidate is expected to have a solid computational and mathematical background, allowing him to take key decisions in the design and development of end-to-end machine learning projects.

Key responsibilities:
Work with domain experts to understand, research, and produce solutions to complex analytical problems.
Work with engineers to design, code, train, test, and iterate on large scale machine learning and analysis systems.
Identify the best state-of-the-art algorithms and libraries to solve complex classification, forecasting and modeling problems.
Participate in end-to-end life cycle of machine learning and data-science projects: involving feature selection, model creation, training and validation, optimization, and deployment.
Data mining using state-of-the-art methods.
Doing ad-hoc data analysis to answer critical business questions and to identify potential growth and development opportunities.
Presenting results in a clear manner to differ audiences.
Processing, cleansing, and verifying the integrity of data used for analysis.
Extending company's data with third party sources of information when needed.
Enhancing data collection procedures to include information that is relevant for building analytic systems.
Develop processes and tools to monitor and analyze model performance and data accuracy.

Basic Skills & Qualifications:
Experience with standard analytical tools such as Scipy, Scikit-learn, Tensorflow and SparkML.
Knowledge of basic dataviz libraries such as bokeh, matplotlib and ggplot.
Software engineering skills across multiple languages such as Python, R and SQL.
Good applied statistics skills, such as distributions, statistical testing, model validation, etc.
Data-oriented personality.
Drive to learn and master new technologies and techniques.
Strong analytical and problem-solving skills, with an emphasis on product development.
Good communication skills.
Proactive attitude.
BS or MS in Computer Science, Computational Biology, Biostatistics, Cognitive Science or another quantitative field.

Ph.D. in Computer Science, Computational Biology, Cognitive Science, etc. or equivalent working experience: 2/3 years working in statistical analysis and machine learning techniques (clustering, decision tree learning, artificial neural networks, time-series forecasting, etc.).
Experience with standard software engineering tools and methodologies to manipulate data and draw insights from large data sets.
Experience working in cloud computing platforms such as AWS or GCP.
Experience working with Real World Data.


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.

Fuente: Neuvoo3_Ppc




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