Data Scientist

As NFM’s Data Scientist, you will utilize data mining techniques, statistical analysis, and build high-quality prediction systems integrated with our products to support Nebraska Furniture Mart Marketing operations, sales, and leadership.

Job Duties:

• 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 information relevant for building predictive models.
• Identify opportunities for leveraging company data to drive business solutions by proposing solutions and strategies to 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, perform ad-hoc analysis, and present results in a clear manner.

Your work will directly impact the Marketing Team’s ability to help people create a lifestyle they love, for the people they love.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field required; Master’s degree preferred.
• Understanding of supervised and unsupervised machine learning techniques and algorithms: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience with data science and statistical toolkits and platforms, including R, Weka, Python, SPSS, and SAS.
• Applied math skills in statistics and linear algebra.
• Familiarity with operations research and optimization techniques.
• Experience with data visualization and reporting tools, such as Tableau, QlikView, PowerBI, and visualization tools like D3.js, GGplot, and Matplotlib.
• Proficiency in SQL and understanding of NoSQL databases, such as MongoDB, Cassandra, 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.
• Programming skills in Python, Powershell, C, C++, Java, JavaScript, etc.
• Ability to work nights, weekends, and/or early morning hours based on business needs.