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Entry Level Data Scientist Machine Learning Jobs in Nebraska

Excellent written and verbal communication skills For Data Science/Machine Learning Required Skills ... entry level position each additional Technical skill helps a candidate's resume to be picked by ...

Python Tutor

Lincoln, NE · Remote

$40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

Python Tutor

Omaha, NE · Remote

$40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

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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.
Postdoctoral Research Associate

Full-time

Posted 13 days ago


University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

47th of 1,001 rated hospitals


Job description

Requisition Details
GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location
Omaha, NE
Requisition Number:
2025 - 291
Department
Neurological Sciences 50001975
Business Unit(College/Institute)
College of Medicine
FTE:
100
Reg-Temp
Full-Time Regular
Work Schedule
As directed by supervisor
Requisition Category
Research - Academic
Requisition Title
Postdoctoral Research Associate
Job Title/Academic Rank
Postdoctoral Research Associate
Additional Requisition Title
Appointment Type
A1 - REG OTHER ACAD SAL
Salary Range
Salary Commensurate with Experience
Job/EEO Category
Professional Non-Faculty (Includes Other Academic)
Job Requisition Begin Date
12/16/2025
Position Qualification
Position Summary
The WANG Lab at the University of Nebraska Medical Center's Department of Neurological Sciences is seeking a Postdoctoral Research Associate. The Postdoctoral Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics, including but not limited to, disease diagnosis/prognosis, biomarkers identification and treatment prediction, etc.
Required Qualifications:
  • A PhD by time of hiring in a relevant field. Relevant fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering.
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent organizational and time-management skills and ability to self-direct work.
  • Ability to work as a team member.
  • Excellent verbal and written communication skills.

Questions may be directed to Dr. Jieqiong Wang at jiwang@unmc.edu
Required Qualifications
  • A PhD by time of hiring in a relevant field. Relevant fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering.
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent organizational and time-management skills and ability to self-direct work.
  • Ability to work as a team member.
  • Excellent verbal and written communication skills.

Supplemental Qualifications

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