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Bose Corporation Logo

Sr. Data Scientist

Bose Corporation

Salary not specified
Oct 1, 2025
Framingham, MA, US
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At Bose, the business problem is to develop world-class AI, data science, machine learning, and related solutions to solve for their biggest challenges, specifically in supply chain modeling and causal modeling, to drive a significant impact to their bottom-line and customers.

Requirements

  • 7+ years of experience applying data science, AI/machine learning, and analytics techniques to business problems
  • 2+ years of experience leading data science projects
  • Experience with machine learning, probabilistic forecasting, optimization and causal modeling techniques, with a focus in supply chain modeling.
  • Experience with experimental research methods (DOE, RCT, Quasi-experimental design)
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems
  • Experience with and understanding of project management tools and principles
  • Ideal candidates will have experience with MMM as well.

Responsibilities

  • Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
  • Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
  • Work cross-functionally with sales, product, marketing, and engineering on optimization opportunities and insights.
  • Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models, with a focus on supply chain and causal modeling.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Contribute to and help build ML/AI vision to support business strategy.

Other

  • MS or PhD in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field
  • Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science
  • Completed coursework related to Business/Management or Business/Customer Analytics
  • Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
  • Ability to mentor, coach, and lead others.