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Data Science Project Manager Jobs in Nebraska (NOW HIRING)

Position Summary The Project Manager Provide project management and building information modeling ... Data analysis, market surveys, and cost estimation * Supervision of personnel and requirements.

... data and process automation. AsNorth America'sleading end-to-end business process solution provider ... The Project Manager will be responsible for the oversight and management of complex, multiple ...

... data and process automation. As North America's leading end-to-end business process solution ... The Project Manager will be responsible for the oversight and management of complex, multiple ...

Information Technology Join Mutual of Omaha as were looking for a Data Science team who bridges the ... Maintain and enhance package and dependency management tools such as poetry and npm to comply with ...

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 ...

Data Engineer AI

Omaha, NE · On-site

$109K - $131K/yr

... Science models. • Cost & Performance Management: Drive the efficiency of our data stack by optimizing storage and query performance in Snowflake, AWS, and Azure to manage the ROI of the ...

Project Manager On Site | Offutt AFB, Bellevue, Nebraska | TS/SCI Required Why This Role Exists The ... related financial data, project milestones, and contract deliverables to ensure performance ...

... project controls, safety, and equipment management. You will be responsible for setting architecture standards, guiding technology decisions, and partnering with data engineering, data science ...

... data centers, and military installations. Our expertise includes engineering analysis, design ... Bachelor's degree in engineering, sciences, construction, planning, or a related area preferred.

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Data Science Project Manager information

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$16

$54

$76

How much do data science project manager jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for data science project manager in Nebraska is $54.83, according to ZipRecruiter salary data. Most workers in this role earn between $47.45 and $64.18 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
What are popular job titles related to Data Science Project Manager jobs in Nebraska? For Data Science Project Manager jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Data Science Project Manager jobs? Cities in Nebraska with the most Data Science Project Manager job openings:

Full-time

Posted 23 days ago


Job description

This position is consider contingent upon award.

Position Summary

The Project Manager Provide project management and building information modeling support to include stakeholder coordination, requirements management, planning, scheduling, tracking, reporting, data analysis, and supervision/management.

Individuals must be able to attain and maintain a valid US Government Top Secret (TS) security clearance with eligibility for Sensitive Compartmented Information (SCI) to be retained in the position.

Duties & Responsibilities

  • Project planning, scheduling, tracking, reporting
  • Requirements analysis and management
  • Stakeholder coordination
  • Data analysis, market surveys, and cost estimation
  • Supervision of personnel and requirements.

This job description in no way states or implies that these are the only duties to be performed by this employee. He or she will be required to follow any other instructions and to perform any other duties requested by his or her supervisor

Education & Experience Requirements

  • Minimum of 5 years of experience in project management and Building Information Modeling (BIM).
  • Demonstrated expertise in civil engineering, architectural engineering, and facility planning.
  • Strong analytical skills with the ability to research, evaluate, and develop recommendations.
  • Ability to collaborate effectively with multiple agencies, stakeholders, and technical teams..

Skill & Certification Requirements

  • Facility operations
  • Technical civil engineering operations & maintenance
  • Building Information modeling
  • Technical drawings and documentation
  • Project Management
  • Supervisory/management
  • Strong written and oral communications Supporting DoD facility projects or working with military mechanical system standards.
  • Familiarity with Bluebeam and Microsoft Office Suite.
  • Strong written and verbal communication skills.
  • Position requires sitting for long periods of time. (Sedentary Work)
  • Most duties require extended use of a keyboard and computer monitor
  • Extended Telephone Use
  • May require lifting of 20-50 lbs
  • LCI is an Equal Opportunity Employer Veteran/Disabled
  • Leader Communications is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you’d like to view a copy of the company’s affirmative action plan or policy statement, please email hr@lcibest.com