At Nebraska Furniture Mart (NFM), we've been hiring friends since 1937-people who share our passion for helping customers feel right at home. If you share our vision, we invite you to be one of us People love working here Named one of Furniture Today's Best places to work, and here a few reasons why: A FUN, stable work environment, with no layoffs in our history. A safe place to work and shop, development opportunities leading you to the career of your dreamsand a culture that encourages volunteering and serving our communities. Pay Range: $65,266-106,850.00 annually Job Description: Your Piece of the Puzzle 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. This is a remote position requiring the candidate to reside in one of the following states: NE, IA, MO, KS or TX. Job Duties: A Day in the Life Unravel: Verify the integrity of data used for analyzing and engineering data features for building and optimizing machine learning models Be Precise: Enhance data collection procedures to include information that is relevant for building Be the Expert: 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 Play Your Part: Report information using data visualization techniques and performing ad-hoc analysis and presenting results in a clear manner Your work will directly with the Marketing Team to impact our ability to help people create a lifestyle they love, for the people they love-because that's what we love. Qualifications: Can You Check These Boxes? Bachelor's degree in Computer Science, Engineering, Mathematics or related field required. Master Degree preferred Excellent understanding of supervised and unsupervised machine learning techniques and algorithms: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc Experience with common data science and statistical toolkits and platforms, to include R, Weka, Python, SPSS and SAS Strong applied math skills in a variety of areas, namely statistics and liner algebra Familiarity with operations research and optimization techniques Experience with professional data visualization and reporting tools, such as Tableau, QlikView, PowerBI Proven experience using data visualization tools such as D3.js, GGplot, and Matplotlib Proficiency in using SQL 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, such as distributions, statistical testing, regression, etc Strong scripting and programming skills in Python, Powershell, C, C++, Java, JavaScript, etc Ability to work nights, weekends and/or early morning hours based on business needs Pre-employment screening includes, but isn't limited to, criminal background check Applicants must be authorized to work in the USA on a full-time basis. NFM will not sponsor applicants for work visas for this position LI-REMOTE Benefits: What's in It for You? As a full-time member of our NFM Family, you will enjoy: Same day pay - access to your earned pay on-demand, when you need it the most Competitive pay - generous annual increases up to 7% Inclusive culture - Because everyone who works or shops at NFM should feel right at home 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 (Collectively, NFM staff have saved almost $2 million on purchases in the last 12 months) Virtual and in-person career development opportunities at all levels Paid community volunteer opportunities Tuition Reimbursement You'll start saving for your retirement immediately in NFM's 401(k) and you're eligible for company match after one year. NFM's 401(k) also offers Berkshire Stock as an investment option Nebraska Furniture Mart is an Equal Opportunity Employer

Major Duties<ul><li>Serves as a Senior Data Scientist leading teams for the most complex projects. May also serve as a team participant or an independent analyst on professional data science teams.</li><li>Applies the rigors of the data science discipline to data analysis in Cyber, Information Technology and economic analyses of complex and potentially controversial major information technology systems and networks.</li><li>Responsible for advanced level data science analytics characterized as highly unstructured and complex, having little definition or clarity, and especially complex analytic projects assigned to the organization.</li><li>Provides business metrics and support for the most complex projects to identify improvements (contribution to the improvement should be monitored initially and over multiple iterations).</li><li>Coordinates with the data steward to ensure that the information used follows the regulatory and security policies in place.</li><li>Qualify where information can be stored or what information, external to the organization, may be used in support of the use case.</li><li>Lead analytical projects, providing direction and guidance to project members of a professional nature in the execution and implementation of projects.</li></ul>Qualifications/ Specialized ExperienceWho May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. Current Army Cyber Excepted Service (CES) Employee Current Army Defense Civilian Intelligence Personnel System (DCIPS) Employee Current Civilian Employees of the Organization Applying to Cyber Excepted Service (CES) Positions Current Department of Army Civilian Employees Current DoD Cyber Excepted Service (CES) Employee (non-Army) Current DoD Defense Civilian Intelligence Personnel System (DCIPS) Employee (non-Army) Current Permanent DoD Civilian Employee (non-Army) Applying to Cyber Excepted Service Positions Non-Department of Defense (DoD) Transfer Applying to Cyber Excepted Service Positions Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction 1400.25, Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Data Scientist: A. Degree: Bachelor's degree (or higher degree) in in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus appropriate experience or additional education. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: GG-11 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) assisting with analyzing data in cyber, information technology, or other areas to ensure plans meet programming requirements; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) working on a team providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-12 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) analyzing data in cyber, information technology and/or economic information to ensure plans meet programming or budgetary requirements; (2) providing business metrics and support for complex projects to identify needed improvements; (3) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-13 Qualifying Experience: To qualify based on your experience, your resume must describe two years of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) leading teams in analyzing data in cyber, information technology to ensure plans meet programming; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research; (5) ensuring information used is in compliance with regulations and security policies.

Data Scientist Jobs in Omaha, NE

Principal Data Scientist
November 18, 2024

Data Scientist Remote
November 15, 2024

Data Scientist
November 10, 2024

Marketing Data Scientist I
November 4, 2024

Marketing Data Scientist I
November 3, 2024

Data Scientist
October 30, 2024

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Data Scientist Jobs in Omaha, NE

Principal Data ScientistNovember 18, 2024

Data Scientist RemoteNovember 15, 2024

Data ScientistNovember 10, 2024

Marketing Data Scientist INovember 4, 2024

Marketing Data Scientist INovember 3, 2024

Data ScientistOctober 30, 2024