What are the responsibilities and job description for the Data Scientist position at Best Buy?
Job Details
Best Buy's Advanced Analytics is on the forefront of Best Buy's purpose to enrich lives through technology. The Advanced Analytic team is responsible for elevating our highest-stake, largest-impact decisions with advanced analytic insights and solutions.
As a Data Scientist, you will partner with and influence decisions for our Reverse Supply Chain and Category Pricing teams. Your role impacts customers and adds value through innovative data capabilities and insights to optimize processes and strategies. We seek candidates with experience in analytic techniques, operations research, and machine learning to solve problems in return analytics, pricing, forecasting, and operations.
This role is hybrid, which means you will work some days on site at a Best Buy location and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team.
For this role, you must be located within a drivable distance to our office in Richfield, Minnesota.
What you'll do
We are committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially at key moments in your life.
Our benefits include:
As part of the Best Buy team, you will help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We are committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.
Best Buy is an equal opportunity employer.
Position Type: Full timePandoLogic. Keywords: Data Scientist, Location: Minneapolis, MN - 55423
As a Data Scientist, you will partner with and influence decisions for our Reverse Supply Chain and Category Pricing teams. Your role impacts customers and adds value through innovative data capabilities and insights to optimize processes and strategies. We seek candidates with experience in analytic techniques, operations research, and machine learning to solve problems in return analytics, pricing, forecasting, and operations.
This role is hybrid, which means you will work some days on site at a Best Buy location and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team.
For this role, you must be located within a drivable distance to our office in Richfield, Minnesota.
What you'll do
- Source, interpret, and transform operational and transactional data into valuable analytical insights that inform pricing decisions and reverse logistics.
- Develop and enhance Best Buy's pricing optimization strategies.
- Utilize expertise in predictive modeling and forecasting trends.
- Leverage returns analytics to identify patterns and insights that drive improvements in the reverse supply chain.
- Craft and deliver compelling presentations to stakeholders, effectively communicating findings and recommendations.
- Collaborate with data engineers to design and implement scalable data pipelines and infrastructure for advanced analytics.
- Be a trusted advisor to pricing, secondary market, and return operations teams.
- Explore and experiment with emerging technologies and methodologies to continuously enhance the capabilities of the analytics teams.
- Lead teams in formulating, researching, and solving business-critical problems.
- Bachelor's degree in a quantitative field (e.g., mathematics, statistics, operations research, physics, economics, computer science, engineering).
- 2 years of experience in data science to include applied or industry experience; or the equivalent combination of education and experience.
- Working knowledge of various analytic and statistical methods (i.e., data analysis, statistics, operations research, and/or machine learning) with application to business problems.
- 1 year of hands-on experience using data analytics and optimization tools (e.g. SQL, Python, R, Gurobi, Vertex AI).
- 1 year of hands-on experience in large structured and unstructured data environments.
- Master's or Ph.D. in a quantitative field (e.g., mathematics, statistics, operations research, physics, economics, computer science, engineering).
- 4 years of applied or industry experience in data science and/or a quantitative field.
- 2 years of experience in the areas of pricing optimization, forecasting, segmentation, and predictive models in sophisticated and complex environments.
- 1 year of experience developing and deploying scalable machine learning models in production using Google Cloud Platform, Azure or AWS.
- Knowledge of Machine Learning / Deep Learning, including Python libraries like TensorFlow and PyTorch.
- Retail industry experience.
We are committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially at key moments in your life.
Our benefits include:
- Competitive pay and PTO package
- Generous employee discount
- Physical and mental well-being support
- Robust benefit package
As part of the Best Buy team, you will help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We are committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.
Best Buy is an equal opportunity employer.
Position Type: Full timePandoLogic. Keywords: Data Scientist, Location: Minneapolis, MN - 55423
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
