Posted 38d ago (Nov 5, 24)
Nebraska Furniture MartOmaha, NE
Data Scientist
United States$65.266k - $106.85kFull-timeRWekaPythonSPSSSASTableauQlikViewPowerBID3.jsGGplotMatplotlibSQLMongoDBCassandraHBaseAzureAWSClouderaPowershellCC++JavaJavaScript
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.
Salary and compensation
$65,266 - $106,850 per yearBenefits
No benefits provided.Apply for this positionAny feedback or want to report a concern?Help us maintain the quality of jobs posted on Nata in Data!Contact us
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