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Entry Level Data Scientist Machine Learning Jobs in Nebraska

Sandhills Global is seeking a Data Scientist to analyze data from current and future products and ... The role involves developing statistical and machine learning models, visualizing insights, and ...

In the role of Data Scientist I, we'll count on you to: Handle highly sensitive and confidential ... machine learning modules through feature engineering Evaluate and execute automated machine ...

In the role of Data Scientist I, we'll count on you to: Handle highly sensitive and confidential ... machine learning modules through feature engineering Evaluate and execute automated machine ...

Data Scientist Apply now Job no: 504773 Work type: Full Time Regular Location: Remote Categories ... A strong background in machine learning and statistical analysis, with the ability to validate ...

... 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 ...

... 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 ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You collaborate with engineers, data scientists, and product teams to define problems, test ...

Summary The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative development environment. In this role ...

Summary The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative development environment. In this role ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Entry Level Data Scientist Machine Learning information

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist in Machine Learning, and why are they important?

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 entry level data scientist machine learning jobs?

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 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 June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution.
Data Scientist

Full-time

Posted 29 days ago


Sandhills Global rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

8th of 17 rated publishing


Job description

Job Summary:
Sandhills Global is seeking a Data Scientist to analyze data from current and future products and services. The role involves developing statistical and machine learning models, visualizing insights, and collaborating with software developers to enhance products for better customer service.
Responsibilities:
• Analyzing data that is collected in our current and future products and services
• Develop statistical and machine learning models using state of the art Machine Learning and AI technologies
• Visualize insights for business actions and collaborate with Software Developers to implement into our products and services
• Apply the data analysis, models, and software to the markets our products are in for us to better serve our customers
• Assume other duties as assigned.
Qualifications:
Required:
• Completed Post Secondary Degree in Data Science, Mathematics or Statistics preferred or any other quantitative discipline
• Strong proficiencies in Python or R, and various libraries/packages
• Ability to gain knowledge of the products and customers of the Auction and Heavy Equipment industries
• Technical understanding regarding data models, database design and development, data mining and segmentation techniques
• General understanding of Machine Learning and AI tools and frameworks
• Knowledge of statistics and experience using statistical packages for analyzing large datasets
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Knowledge of Data Ops and Data Management tools, such as Docker, Jenkins and Spark.
• Adept at generating reports and presenting findings in an understandable manner
• Excellent oral and written communication skills
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Ability to travel by air and ground -- valid driver’s license required
• Able to work with minimal supervision
• In Office Position. 4.5 day regular work week. Ability to commute daily to local office is required.
Preferred:
• Experience with SQL, stored procedures, or APIs preferred
Company:
Sandhills Global is an information processing company that connects brands to buyers and sellers in different industries. It is a sub-organization of Sandhills Global. Founded in 1978, the company is headquartered in Lincoln, USA, with a team of 1001-5000 employees. The company is currently Late Stage.