ZipRecruiter

Log In

2

Entry Level Data Scientist Machine Learning Jobs

Noblesoft Solutions

Data Scientist

Jacksonville, FL

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... a solid machine learning foundation Proven record of successful statistical product delivery ...

Agile Tech Labs

Data Scientist

Detroit, MI · On-site

Data Scientist Job Location: Detroit, MI (Hybrid) Job Type: Contract ... Develop and deploy Machine Learning and AI models. * Analyze large datasets and generate business ...

Apple

Machine Learning - Data Scientist

Sunnyvale, CA · On-site

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

SynergisticIT

AI & Machine Learning Engineer

Flovilla, GA

$104K - $125K/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 ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... machine learning foundation • Proven record of successful statistical product delivery • ...

KDA Consulting Inc

Data Scientist

Mclean, 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 ...

next page

Showing results 1-20

All 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 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:
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 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.
Data Scientist/Machine Learning Engineer

Data Scientist/Machine Learning Engineer

CATHEXIS

Redwood City, CA • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Team CATHEXIS elevates the government contracting experience through rapid response, deep skill, and thoughtful problem-solving and communication. Our core capabilities are our top-tier program and project management, data analytics, and audit services, the backbone of which is our integrated approach to operational excellence.
You worked hard to get to where you are. You strive to make every day better than the day before. So do we. Team CATHEXIS operates with an all-in mindset. We are working together to create a company that supports our shared values and individual goals. Our values are centered around leading with integrity, owning the outcome, growing together, and moving with purpose in everything we do for our employees, customers, partners, and communities. We believe success is best when we listen and lead with empathy; model high standards of ethics to provide a rewarding candidate experience; work hard, have fun, and appreciate the strengths we all bring to the team; and empower our employees to create innovative and trusted results.
We are looking for a dynamic Data Scientist/ML Engineer to join our team. The Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation.
We are proactively building a pipeline of qualified candidates for future opportunities that may arise. If your background aligns with our anticipated needs, a member of our Talent Acquisition team may reach out should a role become available or to proactively screen you for the role.
Responsibilities
The responsibilities include, but are not limited to:
  • Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.
  • Assist and enable federal customers to build their own applications.
  • Contribute to the design and implementation of new features.

Requirements
  • Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
  • Minimum 2 years relevant work experience preferred.
  • Excellent programming skills in Python.
  • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
  • Strong mathematical background (linear algebra, calculus, probability, and statistics).
  • Experience with scalable ML (MapReduce, streaming).
  • Ability to drive a project and work both independently and in a team.
  • Smart, motivated, can-do attitude, and seeks to make a difference.
  • Excellent verbal and written communication.
  • Real passion for developing team-oriented solutions to complex engineering problems.
  • Thrive in an autonomous, empowering and exciting environment.
  • Great verbal and written communication skills to collaborate multi-functionally and improve scalability.
  • Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment.
  • Convey highly technical concepts and information in written form to technical and non-technical audiences.
  • The ability to work on multiple concurrent projects is essential.
  • Strong self -motivation and the ability to work with minimal supervision.
  • Must be a team-oriented individual, energetic, result & delivery oriented, with a keen interest on quality and the ability to meet deadlines.
  • Ability to work in an agile environment.
Desired Skills
  • Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
  • Experience with deep learning, natural language processing, computer vision, or reinforcement learning.

Benefits
CATHEXIS offers competitive compensation packages to all eligible employees. Our goal is to provide a compensation package that reflects the value you bring to our team, is competitive with national average market rates, and promotes your financial security and personal well-being. The annual salary range for this role is $125,000 - $150,000. Please note that the salary information provided is a general guideline. CATHEXIS considers various factors in its final offer, including location, qualifications, experience, and skills.
  • Performance Bonuses
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Plan (Traditional and ROTH)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off
  • 11 Federal Holidays
  • Parental Leave
  • Commute Benefits
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Program
  • Community Outreach Initiatives

CATHEXIS is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability EEO IS THE LAW. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the Recruiting Department RecruitingTeam@cathexiscorp.com

Apply