Sr. Data Scientist

About the role

At Bose, we aim to bring products into the world that people truly love, and we don’t stop until the details are just right. Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the right customers, and allow us to astonish customers with carefully crafted and personalized experiences.

Responsibilities

• Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
• 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.
• Able to mentor, coach, and lead others.
• Contribute to and help build ML/AI vision to support business strategy.

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.

Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.

Experience with and understanding of project management tools and principles.

Qualifications

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.

Skills

• 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.
• Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
• Experience with and understanding of project management tools and principles.

Benefits

Comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences.

Pay

The hiring range for this position in Framingham, Massachusetts is: $120,000-$165,000.

Schedule

Not specified.