What are the responsibilities and job description for the Associate Data Scientist, Marketing position at Best Buy?
As an Associate Data Scientist, you will help drive smarter marketing decisions by applying statistical and machine learning solutions that improve media performance to drive real business outcomes. You will partner closely with marketing and analytics teams to support the marketing mix optimization (MMO) capability, translate model results into actionable insights, and help influence business outcomes.
In this role, you will maintain and enhance MMO processes, analyze campaign performance, respond to stakeholder requests, and identify opportunities to improve existing MMO models through automation and new features.
This role is hybrid, which means you will work some days on site at the Best Buy location listed on this posting and some days virtually from home or another non‑Best Buy location. The specific work arrangements vary by role and team, and the recruiter or hiring manager will provide additional details during the hiring process.
This position is not eligible for immigration sponsorship or relocation assistance.
What you’ll do
In this role, you will maintain and enhance MMO processes, analyze campaign performance, respond to stakeholder requests, and identify opportunities to improve existing MMO models through automation and new features.
This role is hybrid, which means you will work some days on site at the Best Buy location listed on this posting and some days virtually from home or another non‑Best Buy location. The specific work arrangements vary by role and team, and the recruiter or hiring manager will provide additional details during the hiring process.
This position is not eligible for immigration sponsorship or relocation assistance.
What you’ll do
- Conduct exploratory data analysis (EDA) and build, test, and deploy statistical and machine learning models that drive marketing insights and business impact.
- Support and maintain the end-to-end MMO process, including marketing mix modeling (MMM), forecasting, and optimization — from data preparation and model execution to validation and recurring reporting.
- Partner with marketing and analytics teams to interpret model results, evaluate media performance, and turn findings into actionable recommendations.
- Continuously improve modeling frameworks by introducing new features, refining methodologies, and leveraging AI-driven automation.
- Stay current on industry trends and emerging technologies to help evolve analytical capabilities and drive innovative solutions.
Basic qualifications
- Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.).
- 1 years of experience in marketing mix modeling, supporting model development, enhancements and model refreshes for consumption.
- 1 years experience in building marketing attribution and advanced statistical models.
- 2 years of experience using Python, R, and SQL
- 1 years of experience using cloud data platforms such as GCP, AWS, Snowflake etc. for model development, analysis, and operationalization.
- Effectively communicate technical information to technical and non-technical audiences.
Preferred qualifications
- Master's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.), including 2 years of applied or industry experience.
- 1 years of experience in marketing data science to include modeling and testing, segmentation, measurement, targeting, and optimization with scenario planning.
- 1 years of experience in data wrangling, validating data and solutions, supervised and unsupervised models, AI and ML frameworks.
What’s in it for you
We’re 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 key moments in your life.
Our benefits include:
- Competitive pay
- Generous employee discount
- Physical and mental well-being support
Best Buy provides different types of leaves of absence (LOA) and potential pay sources to employees based on eligibility. The length of your LOA depends on your situation, where you live, your full-time or part-time employment status, and federal and state regulations. Intermittent or reduced-schedule leave is also available for certain medical or family care leaves. Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service.
Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results. For more information about our incentive pay plans, including eligibility, please refer to our Incentive Programs Summary.
For more information about benefits, LOA and paid time off, please refer to our Benefits Guide.
About us
As part of the Best Buy team, you’ll 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’re 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.™
Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results. For more information about our incentive pay plans, including eligibility, please refer to our Incentive Programs Summary.
For more information about benefits, LOA and paid time off, please refer to our Benefits Guide.
About us
As part of the Best Buy team, you’ll 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’re 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.™