1

Data Science Manager Jobs in Nebraska (NOW HIRING)

Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and ... Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R)

Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and ... Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R)

Senior Data Scientist, Supply Chain

Omaha, NE · On-site +1

$82K - $120K/yr

Reporting to the Manager Data Science, you will lead analytics projects within defined areas of expertise by researching, collecting, analyzing, and interpreting data to identify trends and deliver ...

You will collaborate closely with product managers, full-stack developers, platform engineers, and ... science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL ...

Master's degree in Social Science, Statistics, Mathematics or related field 1 year significant ... in managing time and competing priorities; responsive and committed to supporting and motivating ...

next page

Showing results 1-20

Data Science Manager information

See Nebraska salary details

$29.6K

$92.6K

$164K

How much do data science manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data science manager in Nebraska is $92,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $119,700.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Nebraska? The most popular types of Data Science jobs in Nebraska are:
What job categories do people searching Data Science Manager jobs in Nebraska look for? The top searched job categories for Data Science Manager jobs in Nebraska are:
What cities in Nebraska are hiring for Data Science Manager jobs? Cities in Nebraska with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Nebraska as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,623 per year, or $44.5 per hour.
Data Scientist Sr

Full-time

Medical, Dental, Vision, Life

Posted 26 days ago


Job description

Position Title

Data Scientist Sr

Location

Atlanta, GA 30305

Job Summary

The Data Scientist Sr responsibilities include independently perform data analytics (ranging from data analysis, regression to machine learning) in a variety of environments using structured and unstructured data. Present complex concepts in a format digestible by a diverse audience across the organization. Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses. Quickly learn complex community banking dynamics, work closely with stakeholder to understand business objectives and design data-driven solutions that create competitive differentiation. Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting.

Job Responsibilities:

JOB RESPONSIBILITIES

  • Independently perform data analytics (ranging from data analysis, regression to machine learning) also guide other data scientists properly in a variety of environments using structured and unstructured data.
  • Present complex concepts in a format digestible by a diverse audience across the organization.
  • Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses.
  • Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and compliance practices.
  • Trouble shoot issues, suggest alternative approaches or controls to mitigate risks/gaps identified.
  • Develop and design data-driven solutions in the areas of client insights and segmentation, sales & marketing lead generation, performance analysis and product analytics.
  • Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting.
  • Assume end-to-end responsibilities on key initiatives assigned, and leverage partnership to achieve the shared vision.
  • Uses independent judgement and discretion to make decisions.
  • Analyzes and resolves problems.

ADDITIONAL ACCOUNTABILITIES

  • Performs special projects, and additional duties and responsibilities as required.
  • Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings. Accountable to maintain compliance with applicable federal, state and local laws and regulations.

JOB REQUIREMENTS

Required Qualifications:

  • Education level required: Undergraduate Degree (4 years or equivalent).
  • Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience.
  • Experience leveraging tools for ETL and data wrangling.
  • Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R).
  • Experience using modern visualization tool (e.g. PowerBI, Tableau).
  • Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments.

Preferred Qualifications:

  • Education level preferred: Master's Degree (or Postgraduate equivalent) includes a Master of Business Administration (MBA) with a focus on data analytics or a Master of Science (MS) in data science, business analytics, computer engineering, etc.
  • Working knowledge of cloud computing tools on any of the major cloud platforms preferred.
  • Completion or progress towards certifications such as FRM or CFA preferred.
  • Experience with ETL tools such as Informatica, AWS, Talend, or Snowpark.
  • Knowledge of data governance, security, and compliance requirements in the banking industry.

Job Competencies:

  • Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments.
  • Knowledge of retail and/or commercial banking.
  • Good Interpersonal, communication and presentation skills.
  • Results oriented with a strong work ethic and sense of urgency.
  • Demonstrates a strong ability to build and maintain effective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, and leveraging cross functional insights.
  • Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results.
  • Builds trusted client relationships, whether internal or external, by identifying needs and delivering tailored solutions to enhance the overall client experience.
  • Fosters or supports a positive work culture and productive work environment, displaying importance of effective relationships with customers and stakeholders.
  • Physical demands (ADA): No unusual physical exertion is involved.

Flagstar is an Equal Opportunity Employer

We are committed to providing clear and accurate compensation information in accordance with applicable laws. Actual starting base pay will be determined based on location, experience, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, bonuses, commissions, or other awards as outlined in the offer of employment. Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as a comprehensive leave program. Please click the following link for detailed information:Benefits | Flagstar Bank

Pay Range

$85,218.75 - $140,390.00

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, and the San Francisco Fair Chance Ordinance, as appliable.