Marketing Data Scientist I

$65,266 - $106,850/Yr

Nebraska Furniture Mart - Omaha, NE

Full-time - Entry Level

Remote - Omaha, NE

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

As a Marketing Data Scientist I at Nebraska Furniture Mart, you will leverage data mining techniques and statistical analysis to build high-quality predictive systems that support marketing operations, sales, and leadership. This remote position requires collaboration with the marketing team to enhance customer experiences and drive business solutions through data-driven insights.

Responsibilities

• Verify the integrity of data used for analyzing and engineering data features for building and optimizing machine learning models.
• Enhance data collection procedures to include relevant information for building predictive models.
• Identify opportunities for leveraging company data to drive business solutions by proposing strategies to address business challenges.
• Utilize predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Report information using data visualization techniques and perform ad-hoc analysis, presenting results clearly.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field required.
• Excellent understanding of supervised and unsupervised machine learning techniques and algorithms, including regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks.
• Experience with common data science and statistical toolkits and platforms, including R, Weka, Python, SPSS, and SAS.
• Strong applied math skills in statistics and linear algebra.
• Familiarity with operations research and optimization techniques.
• Experience with professional data visualization and reporting tools, such as Tableau, QlikView, and PowerBI.
• Proven experience using data visualization tools such as D3.js, GGplot, and Matplotlib.
• Proficiency in using SQL and understanding of NoSQL databases like MongoDB, Cassandra, and HBase.
• Exposure to cloud-based analytical and data engineering services in Azure, AWS, or Cloudera.
• Excellent applied statistics skills, including distributions, statistical testing, and regression.
• Strong scripting and programming skills in Python, Powershell, C, C++, Java, and JavaScript.

Nice-to-haves

• Master's degree preferred.
• Ability to work nights, weekends, and/or early morning hours based on business needs.

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Disability insurance
• Life insurance
• Paid holidays
• Paid time off
• Same day pay
• Competitive pay
• Inclusive culture
• Health, dental, vision insurance
• Staff discount on merchandise
• Virtual and in-person career development opportunities
• Paid community volunteer opportunities
• Tuition Reimbursement