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Phd Computer Science Jobs in Nebraska (NOW HIRING)

1872 Consulting

Data Science Manager

Lincoln, NE · On-site

Required : • MS or PHD degree preferred in statistics, applied mathematics, or computer science (machine learning) • 5+ years with predictive modeling techniques and experience in leading ...

Via Logic LLC

Data Scientist

Omaha, NE · On-site

$104.65 - $189.18/hr

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field ... Graduate degree (MS, PhD) in Data Science or related fields * Experience supporting Joint ...

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Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op.

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Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op.

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Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op.

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Phd Computer Science information

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$53.9K

$79.2K

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How much do phd computer science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for phd computer science in Nebraska is $79,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $89,100.00 per year, depending on experience, location, and employer.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What are popular job titles related to Phd Computer Science jobs in Nebraska?

For Phd Computer Science jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Phd Computer Science jobs in Nebraska look for?

The top searched job categories for Phd Computer Science jobs in Nebraska are:

What cities in Nebraska are hiring for Phd Computer Science jobs?

Cities in Nebraska with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $79,240 per year, or $38.1 per hour.

Data Science Manager

1872 Consulting

Lincoln, NE • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
1872 Consulting is a company specializing in data science and analytics, and they are seeking a Data Science Manager to lead a team of data scientists. The role involves designing and implementing predictive models, partnering with cross-functional teams, and applying advanced data science techniques to solve complex business problems.
Responsibilities:
• Provides leadership in advanced engineering, data science and analytics in the development of current or future products, technologies or services.
• Lead a team of data scientists to design, prototype, implement and test predictive and prescriptive analytic models
• Partner with Data Engineers and Project Managers to deliver end-to-end solutions
• Partner with cross-functional teams to identify and explore opportunities for the application of machine learning.
• Applies artificial intelligence and machine learning techniques to solve complex questions or fuel new business opportunities
• Build and/or utilize toolsets and set up processes for extracting information from unstructured data streams.
• Implements data and analytics solutions, through data science techniques, that solve business problems and create business value.
• Provides technical guidance and mentoring to business insight and visualization teams, as needed.
• Leads and executes independent quantitative research projects, leveraging data from multiple sources
• Uses best practices to understand the data and develop statistical, analytical techniques to build models that address business needs.
Qualifications:
Required:
• MS or PHD degree preferred in statistics, applied mathematics, or computer science (machine learning)
• 5+ years with predictive modeling techniques and experience in leading predictive modeling initiatives
• 3+ years of management experience
• Ability to break down complex business and technical problems into opportunities for analytical study
• Extensive knowledge and experience in data science, including expertise in one or more of: machine learning, big data/data mining, statistics, business/customer intelligence, data modeling, databases, data warehousing, or a similar field.
• Business application of the following techniques: hierarchical Bayesian, Markov chain Monte Carlo, random forests, generalized boosted models, generalized additive models, neural networks, time-series forecasting, game theory, conditional probabilities or other similar approaches
• Deep knowledge of statistical areas such as ANOVA, multiple regression, timeseries modeling, principal component analyses, decision trees, clustering, etc.
• Experience programming in R, SQL, Python
• Automate data wrangling, iterative solution search and operationalization of models, working alongside data architects.
• The ability to handle missing data through an algorithmic approach such as multiple imputations to enable insights in sparse and messy datasets
• Significant experience coding and maintaining predictive algorithms
• Superior research, statistical, analytical, processing and mathematical skills with ability to structure and conduct analyses
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.
1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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