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Entry Level Data Scientist Machine Learning Jobs in Nebraska

AI Data Science Evaluator

Omaha, NE · Remote

$245 - $280/hr

You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning. Scope of Work * Evaluate AI model outputs on data science, statistics, ML, and ...

Collaborate with applied science engineers to improve quality, stability, resilience of search and ... Collaborate with platform, content, user data and product partners as HBO Max expands to new ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Entry Level Data Scientist Machine Learning information

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Nebraska?

The most popular types of Data Scientist Machine Learning jobs in Nebraska are:

What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Nebraska?

For Entry Level Data Scientist Machine Learning jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Nebraska look for?

The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Nebraska are:

Infographic showing various Entry Level Data Scientist Machine Learning job openings in Nebraska as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Developer & Data Scientist IRC303082

Gothenburg, NE • On-site

GlobalLogic
Software Development • 10K+ employees

Other

Posted 13 days ago


Key responsibilities

  • Assist with the development, testing, and documentation of data-processing pipelines and machine learning components for vehicle datasets.

  • Help inspect, clean, and structure diagnostic logs and telemetry data for analysis.

  • Support the implementation and testing of baseline analytical models and assist in building simple web interfaces or APIs for analytical tools.


GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

AI, Automotive, Data Engineer, Data Science, Machine Learning, Python

We are seeking an enthusiastic Student or Recent Graduate (AI Developer & Data Scientist) to support the development of our AI-based Measurement Analytics Tool. In this entry-level role, you will have the unique opportunity to apply your academic knowledge to real-world challenges, helping to build and refine a functional Proof of Concept (POC) that turns vehicle telemetry and diagnostic logs into software verification insights. Working under the direct mentorship of senior architects, you will help implement basic ML pipelines, data cleaning scripts, and prototype user interfaces. This role is highly learning-oriented, designed for individuals eager to grow their skills in a professional automotive data science environment.

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Requirements
  • Experience Level: No professional experience required. Strong portfolio of academic coursework, university lab projects, github repositories, hackathons, or personal projects demonstrating hands-on Python development.
  • Core Technical Stack: Solid foundational programming skills in Python, with exposure to standard libraries through coursework or projects.
  • Basic ML Concepts: Academic exposure to machine learning fundamentals, such as time-series analysis, clustering algorithms, or introductory Natural Language Processing (NLP).
  • Data Manipulation: Ability to write scripts to parse, filter, and format raw files (like CSVs or text logs).
  • Aptitude & Passion: High curiosity, strong problem-solving skills, and a keen interest in learning vehicle systems, automotive protocols (e.g., CAN, LIN), or diagnostic logs.
  • Education: Currently pursuing or recently completed a Bachelor’s (B.Sc.) or Master’s (M.Sc.) degree in Computer Science, Data Science, Electrical/Software Engineering, or a related quantitative field.
Job responsibilities
  • AI/ML Pipeline & Development Support: Assist with the development, testing, and documentation of data-processing pipelines and machine learning components optimized for vehicle datasets.
  • Data Cleaning & Exploratory Analysis: Help inspect, clean, and structure text-based diagnostic logs and numerical telemetry streams (such as bus logs and sensor measurements) for analysis.
  • Model Testing & Prototyping: Support the implementation and testing of baseline analytical models (including time-series classification, clustering, or prompt engineering for basic NLP/LLM assistants).
  • UI Prototyping & Coding: Write clean, readable, and well-documented Python code. Assist in building simple web interfaces or APIs to help package these analytical tools.
  • Technical Collaboration & Learning: Actively participate in team syncs, gather engineering requirements under guidance, and learn the fundamentals of vehicle software systems from domain experts.
What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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What GlobalLogic employees say

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