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Senior Data Scientist
Senior Data Scientist-October 2024
Westborough
Oct 13, 2026
ABOUT SAINT-GOBAIN
Saint-Gobain, one of the world’s largest building materials companies and manufacturer of innovative material solutions, helps create great living spaces by combining comfort and sustainability. For m
10,000+ employees
Technology
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About Senior Data Scientist

  Position Description

  Job Summary

  Saint-Gobain Research North America is looking for talented, and energetic data scientists to join our Data team in driving digital transformations for key programs. The mission of this team is to develop world-class AI, data science, machine learning, and related solutions to extract insights from data for driving business and customer value. We provide data science expertise and partner with teams across the company, including R&D, sales, marketing, supply chain, and manufacturing.

  The Senior Data Scientist will help the organization develop a better understanding of R&D and business strategies by driving solutions and working with the various teams to deliver end-point solutions for improved industrial processes and provide optimized digital experiences. The Senior Data Scientist leads projects in the data science (statistics, machine learning) field related to smart manufacturing, business and logistics improvement, and R&D efforts improvement.

  The main responsibilities of the data scientist include:

  Working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive digital business solutions.Collaboration with internal data and digital teams to set up the data analysis infrastructure (both software and hardware) in the cloudLeading cross-functional teams by managing self and others to execute and deliver project objectives. Presenting results from rigorous technical analyses in a clear and actionable way to project stakeholders and management.Summarizing project approach and results in concise and accurate technical memos.Building frameworks leveraging APIs to scale ML models across the organizationMaintaining a keen awareness of recent developments in data science and cloud computing infrastructures and state-of-the-art AI/ML/DL algorithms and research results

  Required Qualifications

  REQUIREMENTS:

  Bachelor's degree with a minimum of 7+ years' experience or master's degree with 3+ years of experience or Ph.D. in Engineering, Computer Science, Operations Research, Statistics, or other related disciplineProficiency in SQL, Python, Python data science stack (NumPy, SciPy, Pandas, Scikit-Learn, Jupyter), Keras, and other ML tool

  Company Summary

  Saint-Gobain Research (SGR) North America is one of Saint-Gobain's largest industrial research laboratories. The center is home to more than 400 employees working at the leading edge of innovation on multidisciplinary industrial research, preparing the future by designing tomorrow's products and processes across an amazing variety of markets and technical disciplines. Since 1985, SGR North America has been supporting existing businesses, developing future businesses, and nurturing talent.

  Saint-Gobain designs, manufactures and distributes materials and solutions which are key ingredients in the wellbeing of each of us and the future of all. They can be found everywhere in our living places and our daily life: in buildings, transportation, infrastructure and in many industrial applications. They provide comfort, performance and safety while addressing the challenges of sustainable construction, resource efficiency and climate change.

  Legal Statement

  Saint-Gobain provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Saint-Gobain is an equal opportunity employer of individuals with disabilities and supports the hiring of veterans.

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