1

Associate Machine Learning Jobs in Summerfield, NC

Associate Data Scientist

Burlington, NC · Hybrid

$49K - $49K/yr

As an Associate Data Scientist , you will join a collaborative team dedicated to solving complex ... Build, test, and deploy statistical and machine learning models to support business and scientific ...

Machine Operator Associate|Greensboro, NC|HIRING IMMEDIATELY| Compensation: * $18.16 per hour ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator Associate|Greensboro, NC|HIRING IMMEDIATELY| Compensation: * $18.16 per hour ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator Associate|Greensboro, NC|HIRING IMMEDIATELY| Compensation: * $18.16 per hour ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator Associate|Greensboro, NC|HIRING IMMEDIATELY| Compensation: * $18.16 per hour ... Learning Management System that supports and enhances employee skills at all levels of the ...

next page

Showing results 1-20

Associate Machine Learning information

See Summerfield, NC salary details

$28.2K

$119K

$281.3K

How much do associate machine learning jobs pay per year?

As of Jun 30, 2026, the average yearly pay for associate machine learning in Summerfield, NC is $119,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,100.00 and $180,700.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What cities near Summerfield, NC are hiring for Associate Machine Learning jobs? Cities near Summerfield, NC with the most Associate Machine Learning job openings:
Associate Data Scientist

Associate Data Scientist

Labcorp

Burlington, NC • Hybrid

$49K - $49K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,106 frontline employees who took The Breakroom Quiz

78th of 103 rated laboratories


Job description

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.


Labcorp is recruiting an Associate Data Scientist.

About the Role

At Labcorp, we believe data is the key to advancing healthcare and improving patient outcomes worldwide. As an Associate Data Scientist, you will join a collaborative team dedicated to solving complex problems using advanced analytics, machine learning, and data-driven insights. This is an exciting opportunity for an early-career data scientist who is eager to learn, grow, and make an immediate impact on real-world healthcare challenges.

Work Schedule:This is a fulltime, exempt (salaried) position assigned to a First Shift schedule, with standard business hours from Monday through Friday, 8:00 a.m. to 5:00 p.m. in your local time zone.Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

Applicants who live within 35 miles of the Durham or Burlington, NC locations will follow a hybrid schedule. This schedule includes a minimum of three in-office days per week at an assigned location, either Durham or Burlington, supporting both collaboration and flexibility.

Job Responsibilities:
  • Collect, clean, and analyze large and complex healthcare and operational datasets.

  • Build, test, and deploy statistical and machine learning models to support business and scientific initiatives.

  • Work closely with cross-functional teams - including IT, clinical, operations, and business leaders - to translate data into actionable insights.

  • Support the development of data pipelines and workflows that ensure scalable and reproducible analytics.

  • Contribute to data visualization and reporting dashboards for internal and external stakeholders.

  • Document methodologies, analyses, and model results to ensure transparency and reproducibility.

  • Stay current with new tools, technologies, and best practices in data science and healthcare analytics.

Minimum Qualifications:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology.

  • 6 months or more experience (academic, internship, or professional) programming in Python, R, or SQL

  • 6 months or more experience (academic, internship, or professional) applying machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch

  • 6 months or more experience (academic, internship, or professional) building data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn

  • 6 months or more experience (academic, internship, or professional) applying statistical modeling, hypothesis testing, or predictive analytics

Preferred Qualifications:

  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology.

  • 12 months or more combined experience across two or more of the following: Python, R, or SQL

  • 3 months or more experience working with healthcare, laboratory, or clinical trial data

  • 3 months or more experience working with a cloud platform such as AWS, Azure, or GCP

  • 3 months or more prior experience at Labcorp

Additional Job Standards:

  • Strong problem-solving skills and intellectual curiosity

  • Desire and willingness to learn new tools and techniques

  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders

Why Join Us

At Labcorp, you'll be part of a global team that is transforming healthcare through innovation and science. As an Associate Data Scientist, you'll gain hands-on experience, mentorship, and the opportunity to contribute to impactful projects that improve lives around the world.

Benefits:Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan.Employees who are regularly scheduled toworka 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, pleaseclick here.


Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.


We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit ouraccessibility siteor contact us atLabcorp Accessibility. Formore information about how we collect and store your personal data, please see ourPrivacy Statement.



What Labcorp employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom