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Entry Level Data Scientist Machine Learning Jobs

AEG

Data Scientist, Machine Learning

Orlando, FL · On-site

The Data Scientist, Machine Learning will support Basketball Operations by developing and deploying machine learning models to inform decision making across player evaluation, game strategy, and ...

Rule14

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Data Scientist Machine Learning

Santa Monica, CA · On-site

$65K - $85K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

Tech Consulting

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Data Scientist

Tampa, FL · On-site

$35 - $42/hr

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data ... evaluate machine learning models Develop data visualizations and dashboards Work with cross ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Roberts Recruiting

Senior Data Scientist

Boston, MA

This is an exciting Senior Data Scientist/Machine Learning opportunity to have a real impact and be a large fish in a small pond! As a Senior Data Scientist at, you will: * Develop natural language ...

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 ... a solid machine learning foundation Proven record of successful statistical product delivery ...

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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:
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 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.

Data Scientist, Machine Learning

Orlando Magic

Orlando, FL

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

Job description

Before we get into the specifics of the role, there are a few things we want you to know:

At the Orlando Magic, our approach is to not only learn as much about you as we can, but for you to learn about us.  This is definitely a two-way street, so time with your potential new leader, teammates, and/or other departments that the role will work with is critical.  It isn’t just, “what are we looking for”, but also, “what do we have to offer you” and “are we the right fit for you.”  While every position is different, our interview process is typically a three-step process, sometimes more depending on the level and nature of the role.

 What we offer you:
  • Staff tickets to Magic home games, learning and development opportunities, Employee Resource Groups (ERGs), company sponsored events, volunteer opportunities & outings for every employee.
  • Fantastic benefits that include: medical, dental, vision, 401(k) with company matching, mental wellness resources, subsidized gym memberships, maternity & paternity leave.
  • Culture built on Community, Innovation, Legendary and Teamwork!

 

A quick summary about the Data Scientist, Machine Learning:

The Data Scientist, Machine Learning will support Basketball Operations by developing and deploying machine learning models to inform decision making across player evaluation, game strategy, and player development. This role will own key parts of the model development lifecycle, from experimentation and training to production deployment, with a focus on spatiotemporal modeling, scalable data pipelines, and reliable model delivery. This is an in-person opportunity in Orlando, FL.

What the Data Scientist, Machine Learning will do:  
  • Build and productionize machine learning models that support basketball decision making.
  • Design and maintain scalable systems and pipelines for data processing, training, inference, and monitoring.
  • Partner closely with analysts, engineers, and basketball stakeholders to turn research ideas into reliable tools.
  • Establish best practices for testing, validation, documentation, versioning, and model observability.
  • Develop modeling approaches that translate basketball data into clear, actionable insights.
  • All other duties as assigned.
What the Data Scientist, Machine Learning needs to have:  
  • Bachelor’s in Computer Science, Statistics, Math or related field.
  • 1+ years of experience with Python and SQL, with solid software engineering fundamentals including testing, version control, and maintainable code practices.
  • 1+ years of experience with applied machine learning techniques, with fluency across tree-based methods, deep learning, and modern modeling workflows.
  • 1+ years of experience with building, deploying, and maintaining end to end machine learning systems in production environments.
  • Passion for basketball and an understanding of the basketball analytics space.
  • Willingness to work long and irregular hours with a flexible schedule based on the changing priorities of the department.
  • Willingness to work a flexible schedule including nights and weekends and be on-call as necessary based on the changing priorities of the department.
  • Proficient in all Microsoft Office products and other related computer skills required.
  • Ability to meet tight deadlines and work well under pressure.
  • Strong organizational skills, time management skills and attention to detail required.
  • Strong verbal and written communication skills with an emphasis on business writing skills.
  • Ability to prioritize and manage multiple tasks/projects.
  • Ability to work independently without supervision, be self-directed and demonstrate initiative.
  • Strong team synergy skills and ability to work collaboratively with others whom you have no direct authority over.
  • Excellent ability to establish rapport with others and ability to build strong interpersonal relationships.
  • Exhibit good judgment and decision-making skills.
Physical requirements 
  • None
 If this opportunity is a role you're passionate about and it fits with your skills and experience, then we welcome you to take the next step and apply! All offers of employment are contingent on successful completion of our pre-employment screenings, that will include a background check and may include a drug screen. Please note that this is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed as assigned. The Orlando Magic are not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at the Orlando Magic via-email, the internet or in any form and/or method without a valid written Statement of Work in place for this position from Orlando Magic HR/Recruitment will be deemed the sole property of the Orlando Magic. No fee will be paid in the event the candidate is hired by the Orlando Magic as a result of the referral or through other means. The Orlando Magic is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, religion, color, sex (including pregnancy and gender identity), sexual orientation, parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, any other non-merit based factor or any other characteristic protected by applicable federal, state or local laws. Our leadership team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. If you’d like more information about your EEO rights as an applicant under the law, please visit http://www1.eeoc.gov/employers/poster.cfm

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