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Director Data Science Analytics Jobs in Nebraska

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE · On-site

$135K - $216K/yr

Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities. * Ensure compliance with all security protocols, classification guidelines, and ...

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE · On-site

$135K - $216K/yr

Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities. * Ensure compliance with all security protocols, classification guidelines, and ...

Flagstar Bank

Data Scientist Sr

Atlanta, NE · On-site

Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience. * Experience leveraging tools for ETL and data wrangling.

Leidos

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

Leidos

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Ability to work effectively across business and technology teams without direct authority. * Strong ... Science, Statistics, Engineering, or a related field. * 5+ years of experience in Data Analytics ...

Deckers

Director, Data Architecture Location: United States (Remote) Interested applicants must reside in ... Your work will enable trusted data products, analytics, operational reporting, and future AI use ...

Deloitte

Finance Analytics & AI Senior Consultant

Omaha, NE · On-site

$111K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics * 4+ years of experience delivering analytics, machine learning ...

D&G Solutions

Data Analyst - Journeyman

Bellevue, NE · On-site

Required : • A bachelor's degree or higher in Data Science, Computer Science, Data Analytics ... • Direct experience developing Machine Learning models required. • Active TS/SCI clearance ...

Deckers

Director, Data Platforms & Engineering Location: United States (Remote) Interested applicants must ... Data Science and analytics teams. We celebrate diversity--of your background, your experiences and ...

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Director Data Science Analytics information

Is 40 too late for data science?

For a Director of Data Science Analytics, starting a career at 40 is not too late, as many professionals transition into data roles later in life. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data management. Age is less important than demonstrated expertise and adaptability in the field.

What does a director of data analytics do?

A director of data analytics oversees the development and implementation of data analysis strategies to support business goals. They lead teams of data scientists and analysts, manage data projects, and ensure the accuracy and integrity of data insights, often using tools like SQL, Python, or Tableau. This role requires strong leadership, strategic thinking, and expertise in data management and analytics techniques.

What is the salary of head of data science and analytics?

The salary for a Director of Data Science and Analytics typically ranges from $120,000 to $180,000 annually, depending on experience, industry, and location. Senior roles may also include bonuses, stock options, and other benefits, with higher compensation for those with advanced skills in machine learning, statistical analysis, and leadership.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means focusing on the most impactful features or data points to improve model performance efficiently, making it a useful concept for data analysis and feature selection. Understanding this rule helps data scientists prioritize efforts and optimize resources in analytics projects.
What are the most commonly searched types of Data Science Analytics jobs in Nebraska? The most popular types of Data Science Analytics jobs in Nebraska are:
What cities in Nebraska are hiring for Director Data Science Analytics jobs? Cities in Nebraska with the most Director Data Science Analytics job openings:
Director Data Science Analytics jobs near you

Data Scientist-Direct Hire-6-Month Register

Criminal Investigation & Law Enforcement | IRS Careers

Grand Island, NE • On-site

$125K/yr

Other

Posted 19 days ago

Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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