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Entry Level Data Scientist Machine Learning Jobs

The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision-making and user experience. This role offers an exciting opportunity to ...

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May use machine learning and statistical approaches based on the analysis of the dataset. May ...

... PhDlevel scientist or engineer to develop and apply machine learning-based models using data ... Data preprocessing and feature engineering for large, highdimensional datasets * Model training ...

Entry Level Data Engineer

Arizona City, AZ

$115.30K - $138.40K/yr

We are hiring candidates with a background in Computer Science related for an Entry-Level Data ... machine learning. What We're Looking For * Bachelor''s degree or higher * Legally authorized to ...

OR · On-site

Data Scientist Consultant I or II* Team, Scope & Environment (Concise) * The AI Risk, Governance ... Apply standard best practices to develop statistical and machine learning techniques to build ...

As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with ...

As a Data Scientist , you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will ...

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Entry Level Data Scientist Machine Learning information

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How much do entry level data scientist machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for entry level data scientist machine learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 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 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.
More about Entry Level Data Scientist Machine Learning jobs
What cities are hiring for Entry Level Data Scientist Machine Learning jobs? Cities with the most Entry Level Data Scientist Machine Learning job openings:
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What job categories do people searching Entry Level Data Scientist Machine Learning jobs look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs are:
Infographic showing various Entry Level Data Scientist Machine Learning job openings in the United States as of May 2026, with employment types broken down into 66% Full Time, 33% Part Time, and 1% Temporary. Highlights an 14% Physical, and 86% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Azure Data scientist

Full-time

Posted 8 days ago


Job description

Overview:
Role: Azure Data scientist
Location: Atlanta GA
#Role is on-site, Must relocate
Must w2 Role
should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure. Additionally, you should have knowledge of optimizing language models for AI applications using Azure AI.
Your responsibilities for this role include:
  • Designing and creating a suitable working environment for data science workloads.
  • Exploring data.
  • Training machine learning models.
  • Implementing pipelines.
  • Running jobs to prepare for production.
  • Managing, deploying, and monitoring scalable machine learning solutions.
  • Using language models for building AI applications.

Skills:
Azure,Data Science,Machine Learning