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Entry Level Data Scientist Machine Learning Jobs in Nebraska

Isys Technologies

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

A Journeyman Data Scientist is typically a mid-level professional who works independently on data ... Develop, test, and deploy machine learning and statistical models. * Create predictive analytics ...

Isys Technologies

Journeyman Data Scientist

Omaha, NE · On-site

A Journeyman Data Scientist is typically a mid-level professional who works independently on data ... Develop, test, and deploy machine learning and statistical models. * Create predictive analytics ...

Isys Technologies

Journeyman Data Scientist

Omaha, NE · On-site

A Journeyman Data Scientist is typically a mid-level professional who works independently on data ... Develop, test, and deploy machine learning and statistical models. * Create predictive analytics ...

Isys Technologies

Journeyman Data Scientist

Omaha, NE

$90K - $125K/yr

Develop, test, and deploy machine learning and statistical models. * Create predictive analytics ... Mentor junior data scientists and analysts. * Participate in code reviews and knowledge-sharing ...

Mutual of Omaha

Data Scientist

Omaha, NE · Remote

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 ...

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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:
Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Nebraska as of July 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution.
Journeyman Data Scientist

Journeyman Data Scientist

Isys Technologies

Omaha, NE • On-site

$90K - $125K/yr

Full-time

Posted 15 days ago

Job description

Minimum Clearance Required
Secret
Responsibilities
Journeyman Data Scientist:
A Journeyman Data Scientist is typically a mid-level professional who works independently on data science projects, develops predictive models, analyzes complex datasets, and collaborates with stakeholders to support business decisions.
Job Duties
  • Collect, clean, and prepare structured and unstructured data from multiple sources.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Develop, test, and deploy machine learning and statistical models.
  • Create predictive analytics solutions to support operational and strategic objectives.
  • Design and maintain data pipelines and analytical workflows.
  • Build dashboards, reports, and visualizations to communicate findings.
  • Validate model performance and recommend improvements.
  • Conduct data quality assessments and ensure data integrity.
  • Document methodologies, code, and analytical processes.
  • Support business units by translating complex data into actionable insights.

Qualifications
Technical Responsibilities
  • Apply statistical analysis, machine learning, and data mining techniques.
  • Develop algorithms and predictive models using programming languages such as Python, R, or SQL.
  • Work with large datasets using cloud and big data platforms.
  • Optimize model accuracy, scalability, and performance.
  • Implement model monitoring and maintenance procedures.
Business Responsibilities
  • Partner with business stakeholders to understand requirements and objectives.
  • Present findings and recommendations to technical and non-technical audiences.
  • Support data-driven decision-making across departments.
  • Identify opportunities for process improvement and automation.
Team Responsibilities
  • Collaborate with data engineers, software developers, analysts, and project managers.
  • Mentor junior data scientists and analysts.
  • Participate in code reviews and knowledge-sharing activities.
  • Follow organizational standards, governance, and security requirements.
Required Experience
Clearance Required: Secret or TS/SCI (not sure on this yet)
Education
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Master's degree preferred for some organizations.
Professional Experience
  • Typically 3-7 years of experience in data science, analytics, machine learning, or a related field.
  • Experience working with large-scale datasets and production environments.
  • Proven track record of delivering analytical solutions that drive business outcomes.
Technical Skills
  • Programming: Python, R, SQL.
  • Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost.
  • Data Visualization: Tableau, Power BI, Matplotlib, Plotly.

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