Sr. Data Scientist

Sr. Data Scientist page is loaded## Sr. Data Scientist locations:
US, MA - Framingham time type:
Full time posted on:
Posted Todayjob requisition :
R28360

You know the moment. It’s the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying “hello.” It’s in these moments that sound matters most. At Bose, we believe sound is the most powerful force on earth. We’ve dedicated ourselves to improving it for more than 60 years. And we’re passionate down to our bones about making whatever you’re listening to a little more magical.#

** Job Description
** ABOUT BOSEYou know the moment. It’s the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying “hello.” It’s in these moments that sound matters most.

At Bose, we believe sound is the most powerful force on earth. And we’ve dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, “I can make this better,” we’ve been relentlessly pushing forward to the next best thing.

Innovation is more than what we do. It’s who we are — constantly learning and constantly curious. We never stop imagining what better sound sounds like. We’re music fanatics and audio engineers. We’re explorers and inventors and dreamers. And we’re passionate down to our bones about making whatever you’re listening to a little more magical.

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.

We are looking for Senior Data Scientist, ideally with a background in supply chain modeling and causal modeling, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges. Within this role you will focus on driving the strategy for and building the next generation of forecasting models.

You will work with a cross-functional team of data scientists and partner with teams from across Bose to influence decisions that will drive a significant impact to our bottom-line and our customers.

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.
* Ability to mentor, coach, and lead others.
* Contribute to and help build ML/AI vision to support business strategy.

Education:

* 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…