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Data Science Associate Jobs in Madison, NC (NOW HIRING)

A strong housing and social science background with evidence of research and data analytic skills ... Associate Position Number 008212 Recruitment Salary Range $58,000 FLSA Exempt Appointment Type ...

From our pioneering Laboratory Animal Science and Landscape Architecture programs to our award ... data collection methods in agricultural and applied economics; skills in developing and delivering ...

From our pioneering Laboratory Animal Science and Landscape Architecture programs to our award ... Ability to define standards for the collection of data; ability to set standards for accuracy ...

Building on a century of innovation, our 48,000 associates help deliver comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and ...

Building on a century of innovation, our 48,000 associates help deliver comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and ...

Showing results 21-40

Data Science Associate information

See Madison, NC salary details

$53.7K

$63.5K

$120.4K

How much do data science associate jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science associate in Madison, NC is $63,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,100.00 and $55,500.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What cities near Madison, NC are hiring for Data Science Associate jobs?

Cities near Madison, NC with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Madison, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $63,507 per year, or $30.5 per hour.

Showing Agent - Rental Property Showings

Doorstead

Greensboro, NC • On-site

$40 - $50/hr

Full-time

Re-posted yesterday


Job description

FIELD ASSOCIATE - GREENSBORO AREA

ABOUT THE ROLE

We're seeking a Field Associate to join our team in the Greensboro area. This contracted hourly position is a 1099 position that focuses on conducting property showings for rental properties with occasional opportunities to conduct property evaluations. Average pay ranges between $40-50 per showing.

Key Responsibilities:

  1. Property Showings:
    • Travel to properties and conduct showings for prospective tenants
    • Ensure property accessibility and secure property when leaving
    • Report prospect and property feedback
    • Paid commute time
  2. Property Evaluations (optional):
    • Assess property conditions at management start, move-ins, and move-outs
    • Use Doorstead tooling to document property deficiencies
    • Work independently and efficiently (average evaluation time of 1 hour)
    • Evaluate exterior areas, interior common spaces, and basic functionality of electric and plumbing systems
    • Take detailed photos and prepare basic reports through our system

IDEAL CANDIDATE

  • Real estate license is required as company policy, but will not be used for any real estate activities
  • Background in real estate showings, property management, home evaluations, or appraisals
  • Excellent verbal and written communication skills
  • Strong attention to detail
  • Comfortable with frequent local travel
  • Proficient with mobile apps and smartphone photography
  • Professional demeanor with positive attitude

TECHNICAL REQUIREMENTS

  • Reliable transportation
  • Smartphone capable of running our mobile friendly evaluation tool and taking high-quality photos

ABOUT DOORSTEAD

Doorstead is a pioneering full-service property management startup that guarantees rental income to property owners, regardless of vacancies. We combine modern data science for efficient risk modeling with tech-powered operations to deliver consistent, high-quality customer service.

Our mission is to provide exceptional care for each property, ensuring true peace of mind for owners.

WHY JOIN US?

  • Be part of a fast-growing prop-tech startup
  • Flexible, independent work environment
  • Contribute to revolutionary property management solutions

If you're passionate about real estate, tech-savvy, and ready to excel in a dynamic role, we want to hear from you!

LOCATION

This position requires candidates to be based in or around the Greensboro area.