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Entry Level Data Scientist Machine Learning Jobs

Implement, train, and evaluate machine learning models using Python and AWS SageMaker. * Develop ... Design A/B tests of the Data Science team's models and analyze their results * Communicate ...

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Proficient in programming languages such as Python and familiar with data science/machine learning ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

... Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep ... scientists, and ML Infrastructure engineers to deliver amazing user experiences! Description ...

Create machine learning solutions for a diverse set of business problems. * Employ structured ... data science solutions. * Present and defend results to leadership audiences, both technical and ...

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 ...

AI & Machine Learning Engineer

Denver, CO

$117K - $141K/yr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data ...

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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 Jun 21, 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 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.
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:
What are the most commonly searched types of Data Scientist Machine Learning jobs? The most popular types of Data Scientist Machine Learning jobs are:
What states have the most Entry Level Data Scientist Machine Learning jobs? States with the most job openings for Entry Level Data Scientist Machine Learning jobs include:
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 June 2026, with employment types broken down into 4% As Needed, 65% Full Time, 27% Part Time, and 4% Temporary. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist

Other

Posted 8 days ago


Job description

Role overview

As a member of the Data Science team with a focus on CarGurus's international products, the Senior Data Scientist, International will be responsible for implementing, training and testing machine learning models in support of CarGurus's fastest growing markets in the UK and Canada. Potential areas of support and ownership include Search Ranking, Recommendations, and Instant Market Value algorithms.

What you'll do

  • Partner with product and engineering teams in CarGurus UK and Canada to understand their product requirements and data assets
  • Implement, train, and evaluate machine learning models using Python and AWS SageMaker.
  • Develop and maintain data pipelines to supply training and inference data for models, using SQL and Snowflake.
  • Collaborate with engineers to deploy models to production
  • Evaluate performance of production-deployed models
  • Design A/B tests of the Data Science team's models and analyze their results
  • Communicate solutions to stakeholders through written documentation, demos and presentations, and data visualizations
  • Collaborate with other data scientists, machine learning engineers, and business stakeholders to scope, design, and implement machine learning projects

What you'll bring

  • Curiosity about widely varied datasets and their possibilities for unlocking customer value. Self-motivated to perform exploratory analyses and build proof-of-concept solutions.
  • Proven experience turning data into successful products
  • Knowledge of standard Machine Learning techniques for supervised and unsupervised learning across structured and unstructured datasets. Comprehensive knowledge of, and real-world experience with, measurement, evaluation, and testing of models.
  • Experience deploying and/or maintaining machine learning services in production
  • Proficiency in Python or similar languages widely used in the data science community
  • Proficiency in SQL
  • Ability to communicate technical details and analytical findings to both technical and non-technical audiences
  • Advanced degree (or proven experience) in Computer Science, Data Science, Mathematics, or any quantitative science which makes use of advanced data analytics or statistical or machine learning techniques