ZipRecruiter

Log In

2

Entry Level Data Scientist Machine Learning Jobs

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

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

Ulta Beauty

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 ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$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 ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$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 ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$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 ...

DeFiner Inc

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 ...

ISEE

Research Scientist - Machine Learning

Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ... If you would like more information about how your data is processed, please contact us.

Apple

Machine Learning - Data Scientist

Sunnyvale, CA

$150K - $277K/yr

... 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 ...

RELX Group plc

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover ...

Elsevier

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover ...

RELX

Data Scientist

Philadelphia, PA

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover ...

Elsevier

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover ...

TechStarsGroup LLC

Senior Data Scientist

Boston, MA · On-site

Senior Data Scientist The Senior Data Scientist will play a pivotal role in providing programming, advanced statistical, and machine learning expertise to our Clinical Data Science team. This ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

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 ...

VTG

Data Scientist

Chantilly, VA

$165K - $210K/yr

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 ...

next page

Showing results 1-20

All JobsData Scientist Machine Learning JobsEntry Level Data Scientist Machine Learning Jobs

Entry Level Data Scientist Machine Learning information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 11, 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:
Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Machine Learning / Data Scientist

PROPRIUS

Bodega Bay, CA

$110K - $140K/yr

Full-time

Re-posted 23 days ago

Job description

Machine Learning Engineer

Location: San Francisco, CA

Sponsorship: No

Relocation: No

Industry: Machine Learning

Our client is a digital invention agency focused on machine learning methodologies, enterprise mobile and web applications, eCommerce, augmented reality and IoT. They look to innovatively make this world a better place with each and every product, system, idea and app they release.

Job Summary

Our client is looking for a machine learning engineer to join our existing ML team in developing and refining a predictive application.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. You must have a proven ability to drive business results with their data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

As a ML Engineer, you will:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions
  • Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy

For this role you will need:

  • Strong with Statistics and can code in either R, Python, Java and Scala
  • Experience with designing and building using micro-services architectural pattern, web APIs using dotnet core & C#
  • Experience and passion for simulations, optimization, neural networks, artificial intelligence (deep learning and machine learning)
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, GIT, SQL, etc.
  • Able to understand statistical solutions and execute similar activities
  • Experience in data wrangling and advanced analytic modeling
  • Strong communication and organizational skills and has the ability to deal with ambiguity while juggling multiple priorities and projects at the same time
  • Experience visualizing/presenting data for stakeholders using: Seaborn, Business Objects, D3, ggplot, etc.
  • Ability to investigate the feasibility and data requirements necessary to develop an ML solution for a given problem
  • Ability to design, build and test production ready ML-based products while interpreting and explaining the basis for predictions generated by ML models

The perfect candidate will have:

  • Knowledge and experience using one or more of the following, or similar, machine learning software frameworks: CAFFE, Torch 7, Keras and Tensorflow
  • Experience building production-ready NLP or information retrieval systems
  • Hands-on experience with NLP tools, libraries and corpora (e.g. NLTK, Stanford CoreNLP, Wikipedia corpus, etc.)

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.
*LI-Y