Associate Data Science R Jobs in Minnesota (NOW HIRING)

<div><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">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.<br> <br>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.<br> <br>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.<br> <br>This position is not eligible for immigration sponsorship or relocation assistance.<br><br><strong>What you’ll do</strong></span></span></div><ul><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">Conduct exploratory data analysis (EDA) and build, test, and deploy statistical and machine learning models that drive marketing insights and business impact.</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">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.</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">Partner with marketing and analytics teams to interpret model results, evaluate media performance, and turn findings into actionable recommendations.</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">Continuously improve modeling frameworks by introducing new features, refining methodologies, and leveraging AI-driven automation.</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">Stay current on industry trends and emerging technologies to help evolve analytical capabilities and drive innovative solutions.</span></span></p></li></ul><div><br><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;"><strong>Basic qualifications</strong></span></span></div><ul><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.).

</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">1+ years of experience in marketing mix modeling, supporting model development, enhancements and model refreshes for consumption. </span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">1+ years experience in building marketing attribution and advanced statistical models.</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">2+ years of experience using Python, R, and SQL</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">1+ years of experience using cloud data platforms such as GCP, AWS, Snowflake etc. for model development, analysis, and operationalization.</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">Effectively communicate technical information to technical and non-technical audiences.</span></span></p></li></ul><div><br><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;"><strong>Preferred qualifications</strong></span></span></div><ul><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">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.</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">1+ years of experience in marketing data science to include modeling and testing, segmentation, measurement, targeting, and optimization with scenario planning.</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">1+ years of experience in data wrangling, validating data and solutions, supervised and unsupervised models, AI and ML frameworks.</span></span></p></li></ul><div><br><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;"><strong>What’s in it for you</strong><br><br>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.<br><br>Our benefits include:</span></span></div><ul><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">Competitive pay</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">Generous employee discount</span></span></p></li><li><p><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;">Physical and mental well-being support</span></span></p></li></ul><div><p><span style="font-size:12px;"><span style="font-family:Arial,Helvetica,sans-serif;">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.</span></span></p><p> </p><div><br><span style="font-size:12px;"><span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:12px;"><span style="font-family:Arial,Helvetica,sans-serif;">Best Buy is an equal opportunity employer.<br><br>Application deadline: Minimum of 5 days from the posting date. You can find that date above the job title at the top of the page.</span></span></span></span><div><br /><span style="font-size:12px;"><span style="font-family:Arial,Helvetica,sans-serif;">Best Buy is an equal opportunity employer.<br /><br />Application deadline: Minimum of 5 days from the posting date. You can find that date above the job title at the top of the page.</span></span></div></div><br><span style="font-size:12px;"><span style="font-family:Arial,Helvetica,sans-serif;">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 <a data-auth="NotApplicable" data-linkindex="0" data-ogsc="" href="https://sn.bestbuy.com/myhr?id=kb_article&sysparm_article=KB0234548" title="https://sn.bestbuy.com/myhr?id=kb_article&sysparm_article=KB0234548">Incentive Programs Summary</a>.<br><br>For more information about benefits, LOA and paid time off, please refer to our <a data-auth="NotApplicable" data-linkindex="1" data-ogsc="" href="https://benefitsguide.bestbuy.com/" title="https://benefitsguide.bestbuy.com/">Benefits Guide</a>.<br><br>About us<br><br>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.<br><br>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.™</span></span></div> <p> Position Type: Full timePandoLogic. Keywords: Data Scientist, Location: Minneapolis, MN - 55423