Marketing Data Scientist I

$65,266 - $106,850/Yr

Nfm - Omaha, NE

Full-time - Entry Level

Remote - Omaha, NE

Credit Intermediation and Related Activities

About the position

As NFM's Data Scientist, you will leverage data mining techniques and statistical analysis to build high-quality prediction systems that support the marketing operations, sales, and leadership of Nebraska Furniture Mart. This remote position requires candidates to reside in specific states and focuses on enhancing customer experiences and driving 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; Master's degree preferred.
• 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.

Benefits

• Same day pay - access to your earned pay on-demand.
• Competitive pay with annual increases up to 7%.
• Inclusive culture that welcomes everyone.
• Health, dental, vision, life insurance, short and long-term disability.
• Paid holidays (upon hire) and paid time off (after 90 days).
• Staff discount on merchandise.
• Virtual and in-person career development opportunities.
• Paid community volunteer opportunities.
• Tuition reimbursement.
• 401(k) retirement savings plan with company match after one year.