Associate Data Scientist, Marketing

Minneapolis, MN (Hybrid)

$82K/yr – $146K/yrMid Level2+ years expFull time

Posted 2 months ago

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Job Summary

Own the modeling and analytics lifecycle for marketing impact, from EDA and ML model development to MMM/forecasting execution and decision-ready recommendations.

  • Growth Analytics: Build and deploy models that translate media performance into actionable spend optimizations and revenue impact.
  • Modeling Frameworks: Improve methods and features with AI-driven automation to stay ahead of industry trends.
  • Cross-Functional Partnership: Align with marketing and analytics teams to interpret results and turn findings into decisions.

Job Description

Responsibilities

  • 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.

Requirements

  • 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

  • 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.

Benefits

  • 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
  • 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.
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Best Buy

3.6 Glassdoor

At Best Buy, our purpose is to enrich lives through technology. We do that by leveraging our unique combination of tech expertise and human touch to meet our customers’ everyday needs, whether they come to us online, visit our stores or invite us into their homes. With over 1,000 stores and more than 90,000 employees in the United States and Canada, we solve key human needs in the areas of productivity, security, health, entertainment, connectivity, and more. We’re a community of courageous change-makers, ambitious collaborators, and inspiring friends. Whether it’s working as a Geek Squad Agent, an in-store advisor, or in our corporate office, we offer each other support and prepare for what might come next. We wake up every morning so we can do our part in shaping the future of a changing world. Together, we raise the bar for what’s possible and dream up new solutions to problems we’ve never encountered. We master innovative skills that we didn’t know were within grasp and turn everyday interactions into human connections built to last. If change motivates you, if technology inspires you — we’re here for you. Tomorrow works here™.

Founded in 1966
Richfield, Minnesota, US
73K employees (3,120 in marketing)
60% recommend to a friend
35% CEO approval

Traffic Signals

Monthly Visitors
101.6M
Monthly Google Ads Budget
$4M
Traffic Source Mix
Search
34.7%
Direct
58.3%
Referral
4.1%
Social
1.4%
Paid
1.3%

Headcount Trend

Current headcount: ~72.9K

Marketing Team

Marketing Team Size
2,119 (3% of company)
Median Career Experience
15 years
Median Tenure
7.3 years
Marketing Roles Posted (Last 30 Days)
8

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