Data Scientist - Finance Data Science

Data Scientist - Finance Data Science Best Buy - 3.8 Minneapolis, MN Job Details Full-time $93,150 - $166,850 a year 1 day ago Qualifications AI models Data mining Presentations for conferences or internal meetings Programming languages Machine intelligence Machine learning (ML) fundamentals Database software proficiency Full Job Description Best Buy aims to enrich customers' lives through technology by solving everyday problems and supporting needs like entertainment, productivity, communication, home security, and health. As a Data Scientist, you contribute to this mission by using advanced statistical and machine learning techniques to tackle complex business challenges, particularly within finance, where you build models that forecast future outcomes and provide actionable insights to help the company make informed decisions. This role is hybrid, which means you will work some days at our corporate office in Richfield, Minnesota, and some days virtually from home or another non‑Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process. What you'll do: Applying scientific methods to solve real-world business problems using data Utilizing cutting edge statistical and machine learning methods to dig deep into complex data to deliver data-driven solutions across all areas of the business but primarily Enterprise Finance Employing broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy's core data science capabilities Mining large structured and unstructured data appropriately to glean actionable insights and to make recommendations on how the data can be used to help solve complex business problems Communicating with business partners to effectively translate models and solutions to different audiences Collaborating with other stakeholder teams to implement and deploy scalable solutions Basic qualifications: Bachelor's degree in a highly quantitative field (e.g. Data Science, Statistics, Computer Science, Engineering, Math, Operations Research, etc) or equivalent experience. 2 or more years of experience with data science/analytics programming languages (e.g. Python, R) 2 or more years of experience implementing impactful ML models. 2 or more years writing SQL queries and working with relational databases. Experience presenting complex technical information to a wide variety of audiences 2 or more years of experience in data science, data analysis, data mining or other similar business functions. Advanced degrees in relevant fields may be counted towards experience requirements.

Preferred Qualifications:

Master's degree in a highly quantitative field (e.g. Data Science, Statistics, Computer Science, Engineering, Math, Operations Research, etc) Experience with Financial Forecasting Experience working with FP&A teams (either as clients or embedded in an FP&A team) Experience with bringing ML models into production pipelines Experience building ML-based Prescriptive models Familiar with Cloud computing platforms (e.g.

GCP, AWS

) Familiar with

Git Position Type:

Full time