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

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... DUMAC is seeking a highly motivated and intellectually curious Quantitative Associate/Analyst to ...

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... DUMAC is seeking a highly motivated and intellectually curious Quantitative Associate/Analyst to ...

A postdoctoral Research Associate (computational biology and bioinformatics area) position is open ... She received postdoctoral training at Department of Data Science, Dana-Farber Cancer Institute and ...

... Associate in Research to join an interdisciplinary research group developing advanced machine ... Our faculty collaborate widely across Duke's medical and data science communities to develop ...

... Associate in Research to join an interdisciplinary research group developing advanced machine ... Our faculty collaborate widely across Duke's medical and data science communities to develop ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

The Department of Surgery is seeking a Postdoctoral Associate with strong clinical research, project management, and data science skills to support a growing portfolio of trauma, critical care ...

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Data Science Associate information

See Raleigh, NC salary details

$55.9K

$66.1K

$125.4K

How much do data science associate jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science associate in Raleigh, NC is $66,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $57,800.00 per year, depending on experience, location, and employer.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

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 enhance their skills for more advanced roles.

What are Data Science Associates?

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 is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

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.

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 are the most commonly searched types of Data Science jobs in Raleigh, NC? The most popular types of Data Science jobs in Raleigh, NC are:
What are popular job titles related to Data Science Associate jobs in Raleigh, NC? For Data Science Associate jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Raleigh, NC look for? The top searched job categories for Data Science Associate jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Science Associate jobs? Cities near Raleigh, NC with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $66,135 per year, or $31.8 per hour.
Quantitative Associate

Quantitative Associate

Duke University

Durham, NC • On-site

$125K - $140K/yr

Full-time

Medical, Dental, Retirement

Re-posted 19 hours ago


Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

434th of 553 rated colleges and universities


Job description

Be You. Be Bold. Choose Duke.
Be You.
DUMAC is the investment office that manages a multi-billion dollar global portfolio on behalf of Duke University and other pools of capital. Our mission is to provide critical financial support to the university for professorships, student scholarships, and pioneering research. The Data Science & Risk team serves as a central quantitative hub, partnering with all investment groups to drive data-informed decision-making, enhance portfolio construction, and manage risk.
DUMAC is seeking a highly motivated and intellectually curious Quantitative Associate/Analyst to join our Data Science & Risk team. This role is designed to provide deep, cross-functional exposure to all aspects of institutional investing. You will work on high-impact projects that span our Public, Private, and Direct investment portfolios, as well as our back-office operations.
This position offers a robust training ground for a career in quantitative finance and asset management, with the potential for long-term advancement within the organization for exceptional performers. You will be a key contributor to the team, bringing fresh perspectives and technical skills to solve complex investment challenges.
Minimum Qualifications
Education
Work requires communications and analytical skills generally acquired through completion of a bachelor's degree program. An MBA and CFA are preferred.
Experience
Work requires experience in research and financial analysis, generally acquired through two years of related experience. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
Be Bold.
What You'll Do:
  • Analyze and model portfolio exposures, performance, and risk across a diverse range of asset classes.
  • Develop quantitative models to assess investment manager factor exposures and identify drivers of return.
  • Contribute to private asset cash flow forecasting and pacing models to inform portfolio construction and liquidity management.
  • Research, develop, and backtest systematic investment strategies in collaboration with investment teams.
  • Explore and implement AI/ML techniques to enhance investment decision-making and optimize operational workflows.
  • Design, build, and maintain interactive dashboards and visualizations to communicate complex data and insights to stakeholders across the organization.
  • Collaborate with investment professionals and operational teams (Finance, Legal) on a variety of cross-functional projects.

What We're Looking For
  • Bachelor's or Master's degree in a quantitative field such as Finance, Economics, Statistics, Computer Science, Engineering, or Mathematics.
  • A demonstrated passion for investing and a strong desire to learn about financial markets.
  • Strong proficiency in R or Python for data analysis, modeling, and automation.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences.
  • An independent thinker with a proactive mindset and a high degree of intellectual curiosity.
  • Experience building dashboards and data visualizations using tools like R Shiny, Python Dash, Tableau, or Power BI.
  • Familiarity with financial markets, different asset classes, and investment concepts is a plus, but not required.
  • Prior internship or project experience in finance, asset management, or a related quantitative field for Quantitative Analyst; 3-5-year relevant work experience for Quantitative Associate.
  • Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.
  • Experience with database querying (e.g., SQL).

Choose Duke.
Why Join DUMAC?
  • Impact: Play a critical role in supporting the mission of a world-class university.
  • Exposure: Gain unparalleled experience across public and private markets, working directly with seasoned investment professionals.
  • Growth: Join a collaborative, mentorship-driven environment with a clear path for professional development and learning.
  • Culture: Be part of a dynamic, intellectually stimulating team that sits at the intersection of technology and finance.

Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $125,000.00 to USD $140,000.00. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.
Your total compensation goes beyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/
Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy- related conditions), sexual orientation, or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).

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About Duke University

Sourced by ZipRecruiter

Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US