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Director Machine Learning Jobs in Omaha, NE (NOW HIRING)

Warnerbros

Principal Data Scientist

Bellevue, NE · On-site

... machine learning algorithms and directing the work of talented Machine Learning (ML) and Artificial Intelligence (AI) researchers and engineers towards building scalable ML solutions for HBO Max.

USfalcon, Inc.

Data Analyst, Craftsman

Omaha, NE · On-site

Direct experience developing Machine Learning modelsrequired. PREFERRED QUALIFICATIONS: * Experience developing dashboards, connectors, and decision-support tools for strategic assessment ...

USfalcon

Data Analyst, Craftsman

Omaha, NE · On-site

Direct experience developing Machine Learning models required. PREFERRED QUALIFICATIONS: * Experience developing dashboards, connectors, and decision-support tools for strategic assessment ...

Theuniversityunion

Data Analyst (Journeyman)

Bellevue, NE · On-site

$95 - $130/hr

... other-directed assessments. * Utilize artificial intelligence and machine learning tools to augment analysis and contribute to continuous improvement of assessment processes, tools, and products.

Monitise

AI Transformation Consultant

Omaha, NE

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or ... This is a full-time, direct-hire position, and no contract options for unsolicited agency ...

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All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Omaha, NE

Director Machine Learning information

See Omaha, NE salary details

$34.4K

$87.9K

$134.9K

How much do director machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for director machine learning in Omaha, NE is $87,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $101,400.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Omaha, NE?

The most popular types of Machine Learning jobs in Omaha, NE are:

What are popular job titles related to Director Machine Learning jobs in Omaha, NE?

For Director Machine Learning jobs in Omaha, NE, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Omaha, NE look for?

The top searched job categories for Director Machine Learning jobs in Omaha, NE are:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Omaha, NE as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,945 per year, or $42.3 per hour.

Senior Data Scientist, Machine Learning

Firstnational

Omaha, NE • On-site

$89K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago

Job description

At FNBO, our employees are the heart of our story-and we're committed to their success! Please see below the details of this career opportunity and how it fits into our organization's success.

Summary of the Job:

The Senior Data Scientist, Machine Learning is responsible for the development, implementation, and operationalization of machine learning (ML) and artificial intelligence (AI) models to drive business impact. This role involves working with a team of highly quantitative data scientists and working with a cross-functional team of engineers, analysts, and business users to deliver innovative solutions, optimizing decision-making processes, and enabling automation at scale. The role will ensure that models are effectively managed in accordance with the model risk management governance and integrated into business workflows and deliver measurable value.

About This Role:

Direct Scope and Accountabilities

Model Development and Deployment:

  • Oversee the end-to-end lifecycle of ML/AI models, from ideation and development to deployment and monitoring, including but not limited to loss prediction, fraud detection, marketing optimization and customer feedback mining.
  • Ensure the scalability, reliability, and robustness of deployed models.
  • Establish best practices for model development, including feature engineering, hyperparameter tuning, and model evaluation.
  • Work with key stakeholders (e.g., FNIT, business partners) to implement the model and drive business value at a timely manner.

Model Performance Monitoring:

  • Define KPIs to measure the model performance and impacts.
  • Implement monitoring systems to ensure model accuracy, relevance, and efficiency over time.
  • Continuously refine and optimize models based on feedback and performance metrics.

Model Management and Governance:

  • Ensure the model development and monitoring practices in compliance with the FNNI model risk management team.
  • Effective communicate modeling approaches and results to external regulators and proactively address their suggestions and comments.
  • Monitor and mitigate risks associated with model bias, drift, and interpretability.
  • Maintain transparency and accountability in the deployment of ML/AI solutions.

Innovation:

  • Evaluate and implement cutting-edge tools, frameworks, and platforms for ML/AI development and deployment.
  • Stay updated on emerging trends, technologies, and best practices in data science.
  • Drive experimentation and pilot programs to test innovative approaches and solutions.

Collaboration and Stakeholder Engagement:

  • Partner with business units to understand their challenges and deliver tailored modeling solutions.
  • Effectively deliver business values to key stakeholders through innovative ML/AI models.
  • Effectively communicate complex technical concepts to non-technical stakeholders in a clear and actionable manner.
  • Build and maintain strategic relationships with external partners, vendors, and research institutions.

Key Performance Indicators (KPIs):

  • Model Performance: Accuracy, precision, recall, and other metrics for deployed models.
  • Business Impact: Measurable improvements in key business metrics influenced by models.
  • Operational Efficiency: Reduction in manual processes and increased automation.
  • Model governance: Compliance with ethical standards and regulatory requirements.

The Ideal Candidate for This Role:

Qualifications

Education:

  • Master's degree or higher in Data Science, Computer Science, Statistics, Mathematics, AI, or a related field.

Experience:

  • Minimum of 3 years of experience in data science or related fields.
  • Proven track record of developing and deploying ML/AI models that deliver business impact.
  • Experience managing cross-functional teams and complex projects.
  • Proven experience to effective communicate modeling approaches and results to external regulators and proactively address their suggestions and comments.

Skills and Competencies:

  • Expertise in machine learning, deep learning, and statistical modeling techniques.
  • Proficiency in programming languages such as Python, R, and SQL, as well as ML/AI frameworks like Claude.
  • Strong knowledge of data visualization tools (e.g., Power BI) and cloud platforms (e.g., AWS, Snowflake).
  • Exceptional leadership, communication, and stakeholder management skills.
  • Analytical and strategic thinking abilities with a focus on measurable outcomes.
Candidates must possess unrestricted work authorization and not require future sponsorship.

Compensation:

Compensation range (base pay): $89,828.00-$148,215.00

This role may have a specific starting pay within this range.

Final compensation offer to candidate may vary from posted hiring range based upon work experience, education, and/or skill level.

Work Environment:

It is anticipated that the incumbent in this role will work in a hybrid capacity, balancing in-person collaboration three (3) days a week with remote flexibility two (2) days a week. As part of our team, you'll experience the energy and relationship-building of face-to-face collaboration while still enjoying the flexibility of remote workdays. We provide the tools and technology to ensure seamless transitions between work environments, supporting your productivity wherever you are. Please note that work location is subject to change based on business needs.

Benefits Overview:

We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance, we offer benefits to match your needs:

  • Medical, Dental, Vision Insurance

  • 401k, With Matching Contributions

  • Time Off Programs

  • Health Savings Account (HSA)/Dependent Care

  • Employee Banking

  • Growth Opportunities

  • Tuition Assistance

  • Short-Term/Long-Term Disability Insurance

Learn more about FNBO benefits here: https://www.fnbo.com/careers/benefits/.

For additional information regarding compensation and benefits, e-mail FNBO at TAGAdmin@fnni.com. To ensure you receive a response, include the number of this job (listed below) in the subject line of your message.

Job number: R-20261507

Equal Opportunity & Belonging:

FNBO believes that the quality of our employee experience is at the heart of our customer experience. One key pillar of our intended employee experience is Belonging. Belonging means we are committed to fostering a workplace culture where employees of all backgrounds feel valued, recognized, and empowered to be their authentic selves-no matter their role or where they are in their journey.

Learn more here.

FNBO is an equal opportunity employer for all employees and applicants and makes employment decisions without regard to status or identity.

Click here to download 'EEO is The Law' Self-Print Poster

Click here to download 'EEO is The Law' Supplement for Federal Contractors

Click here to download 'EEO is The Law' GINA Supplement

FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC

FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants)

Application Deadline:

All our jobs will be posted for a minimum of 5 calendar days. Job postings may come down prior to 5 calendar days based on volume of applicants.

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