Analytics Engineer
Durham, NC · On-site
... quantitative discipline. * Experience applying statistical modeling, predictive analytics, or machine learning methods to business or research problems. * Experience working with AI-assisted ...
Analytics Engineer
Durham, NC · On-site
... quantitative discipline. * Experience applying statistical modeling, predictive analytics, or machine learning methods to business or research problems. * Experience working with AI-assisted ...
Analytics Engineer
Durham, NC · On-site
... quantitative discipline. * Experience applying statistical modeling, predictive analytics, or machine learning methods to business or research problems. * Experience working with AI-assisted ...
Analytics Engineer
Durham, NC · On-site
... quantitative discipline. * Experience applying statistical modeling, predictive analytics, or machine learning methods to business or research problems. * Experience working with AI-assisted ...
Associate in Research
Durham, NC · On-site
Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills. * Experience with machine learning ...
Associate in Research
Durham, NC · On-site
Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills. * Experience with machine learning ...
Associate in Research
Durham, NC · On-site
Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills. * Experience with machine learning ...
Associate in Research
Durham, NC · On-site
Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills. * Experience with machine learning ...
Master's degree in quantitative fields such as Data Science, Analytics, Statistics, Mathematics, Computer Science, Machine Learning, or a closely related discipline * Hands-on experience applying ...
Master's degree in quantitative fields such as Data Science, Analytics, Statistics, Mathematics, Computer Science, Machine Learning, or a closely related discipline * Hands-on experience applying ...
Decision Science Lead
Raleigh, NC · On-site
... quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. 3. Foster communication and partnership across multiple levels of the organization ...
Decision Science Lead
Raleigh, NC · On-site
... quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. 3. Foster communication and partnership across multiple levels of the organization ...
Decision Science Lead
Raleigh, NC · On-site
$120 - $180/hr
... quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. * 3. Foster communication and partnership across multiple levels of the organization ...
Decision Science Lead
Raleigh, NC · On-site
$120 - $180/hr
... quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. * 3. Foster communication and partnership across multiple levels of the organization ...
AI is reshaping how companies operate - from machine learning models driving accounting estimates ... Solid grounding in statistics and quantitative methods - including regression, hypothesis testing ...
AI is reshaping how companies operate - from machine learning models driving accounting estimates ... Solid grounding in statistics and quantitative methods - including regression, hypothesis testing ...
... quantitative methods. The Department is strongly committed to making its programs open and ... machine learning applications), approximation theory, or mathematical models in biology and/or ...
... quantitative methods. The Department is strongly committed to making its programs open and ... machine learning applications), approximation theory, or mathematical models in biology and/or ...
... quantitative methods. The Department is strongly committed to making its programs open and ... machine learning applications), approximation theory, or mathematical models in biology and/or ...
... quantitative methods. The Department is strongly committed to making its programs open and ... machine learning applications), approximation theory, or mathematical models in biology and/or ...
... quantitative methods. The Department is strongly committed to making its programs open and ... machine learning applications), approximation theory, or mathematical models in biology and/or ...
... quantitative methods. The Department is strongly committed to making its programs open and ... machine learning applications), approximation theory, or mathematical models in biology and/or ...
... quantitative methods. The Department is strongly committed to making its programs open and ... machine learning applications), approximation theory, or mathematical models in biology and/or ...
... quantitative methods. The Department is strongly committed to making its programs open and ... machine learning applications), approximation theory, or mathematical models in biology and/or ...
... quantitative methods. The Department is strongly committed to making its programs open and ... machine learning applications), approximation theory, or mathematical models in biology and/or ...
... quantitative methods. The Department is strongly committed to making its programs open and ... machine learning applications), approximation theory, or mathematical models in biology and/or ...
Statistics Graduate Level Tutor
Raleigh, NC · Remote
$18 - $40/hr
... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...
Statistics Graduate Level Tutor
Raleigh, NC · Remote
$18 - $40/hr
... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...
Statistics Graduate Level Tutor
Chapel Hill, NC · Remote
$18 - $40/hr
... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...
Statistics Graduate Level Tutor
Chapel Hill, NC · Remote
$18 - $40/hr
... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...
Statistics Graduate Level Tutor
Durham, NC · Remote
$18 - $40/hr
... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...
Statistics Graduate Level Tutor
Durham, NC · Remote
$18 - $40/hr
... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...
Experience in epidemiology, statistics, or other quantitative field * Experience in infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred ...
Experience in epidemiology, statistics, or other quantitative field * Experience in infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred ...
Experience in epidemiology, statistics, or other quantitative field * Experience in infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred ...
Experience in epidemiology, statistics, or other quantitative field * Experience in infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred ...
Experience in epidemiology, statistics, or other quantitative field * Experience in infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred ...
Experience in epidemiology, statistics, or other quantitative field * Experience in infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred ...
Experience in epidemiology, statistics, or other quantitative field * Experience in infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred ...
Experience in epidemiology, statistics, or other quantitative field * Experience in infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred ...
Overnight Machine Learning Quant information
See Durham, NC salary details
$50.7K - $63.4K
4% of jobs
$63.4K - $76K
17% of jobs
$77.8K is the 25th percentile. Wages below this are outliers.
$76K - $88.7K
29% of jobs
$88.7K - $101.3K
0% of jobs
$101.3K - $114K
2% of jobs
$114K - $126.6K
7% of jobs
$126.6K - $139.3K
7% of jobs
$146K is the 75th percentile. Wages above this are outliers.
$139.3K - $151.9K
16% of jobs
$151.9K - $164.6K
7% of jobs
$164.6K - $177.2K
5% of jobs
$177.2K - $189.9K
5% of jobs
$50.7K
$115.2K
$189.9K
How much do overnight machine learning quant jobs pay per year?
As of Sep 5, 2026, the average yearly pay for overnight machine learning quant in Durham, NC is $115,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $147,400.00 per year, depending on experience, location, and employer.
What is the difference between Overnight Machine Learning Quant vs Quantitative Researcher?
| Aspect | Overnight Machine Learning Quant | Quantitative Researcher |
|---|---|---|
| Credentials | Advanced degrees in CS, Math, or Stats; programming skills | Similar; advanced degrees often required |
| Work Environment | Financial firms, hedge funds, trading desks; fast-paced, data-driven | Financial institutions, research labs; analytical, research-focused |
| Industry Usage | High-frequency trading, algorithmic strategies | Market analysis, model development |
| Work Hours | Overnight shifts aligned with trading hours | Standard business hours, flexible in some cases |
While both roles involve quantitative analysis and programming, Overnight Machine Learning Quants focus on developing models for overnight trading strategies, often working overnight shifts. Quantitative Researchers typically conduct broader market research and model development during regular hours. The roles overlap in skills but differ mainly in work hours and specific application areas.
What are the most commonly searched types of Machine Learning Quant jobs in Durham, NC?
The most popular types of Machine Learning Quant jobs in Durham, NC are:
Duke University rating
6.7
Based on 55 frontline employees who took The Breakroom Quiz
491st of 630 rated colleges and universities
Job description
Analytics Engineer, Data Analytics Practice
Be You.
The Data Analytics Practice within Duke University's Office of Information Technology (OIT) is seeking an Analytics Engineer to help transform institutional data into meaningful insights, applications, and decision-support tools that advance Duke's academic, research, and operational missions.
Duke University depends on trusted data professionals to support strategic decision-making, improve business processes, and enable increasingly sophisticated analytics and artificial intelligence capabilities. The Data Analytics Practice brings together expertise in analytics, data engineering, database administration, and AI engineering to unlock the value of institutional data across the university.
In this role, you will work across diverse data domains to solve complex business problems, build analytical products, and create intuitive data experiences that help stakeholders explore information and make informed decisions. You'll collaborate closely with data engineers, AI engineers, researchers, and business partners while leveraging modern analytics and AI-assisted development tools to rapidly prototype and deliver impactful solutions. If you're naturally curious, enjoy solving ambiguous problems, and are passionate about turning data into action, we'd love to hear from you.
Minimum Requirements
Preferred Qualifications
Work Arrangement
Be Bold.
What You'll Do
Choose Duke.
Duke University is a world-renowned institution dedicated to education, research, healthcare, and innovation. Within OIT, the Data Analytics Practice plays a critical role in helping the university leverage data as a strategic asset. By combining expertise in analytics, engineering, data management, and artificial intelligence, the team delivers solutions that help drive informed decision-making and support Duke's mission.
As Analytics Engineer, you'll work alongside talented data professionals, engineers, and institutional partners to solve meaningful challenges, develop innovative analytical solutions, and help shape Duke's evolving data and AI ecosystem. You'll join a collaborative environment that values curiosity, continuous learning, innovation, and professional growth while making a measurable impact across the university.
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 provision for requests for reasonable accommodation will be provided by each hiring department.
Be You.
The Data Analytics Practice within Duke University's Office of Information Technology (OIT) is seeking an Analytics Engineer to help transform institutional data into meaningful insights, applications, and decision-support tools that advance Duke's academic, research, and operational missions.
Duke University depends on trusted data professionals to support strategic decision-making, improve business processes, and enable increasingly sophisticated analytics and artificial intelligence capabilities. The Data Analytics Practice brings together expertise in analytics, data engineering, database administration, and AI engineering to unlock the value of institutional data across the university.
In this role, you will work across diverse data domains to solve complex business problems, build analytical products, and create intuitive data experiences that help stakeholders explore information and make informed decisions. You'll collaborate closely with data engineers, AI engineers, researchers, and business partners while leveraging modern analytics and AI-assisted development tools to rapidly prototype and deliver impactful solutions. If you're naturally curious, enjoy solving ambiguous problems, and are passionate about turning data into action, we'd love to hear from you.
Minimum Requirements
- Bachelor's degree in Mathematics, Computer Science, Data Science, or another quantitative field, or an equivalent combination of education and experience.
- Minimum of two years of professional experience in data analytics, software development, engineering, or a related field.
- Proficiency in SQL and data analysis using Python, R, or a similar analytical programming language.
- Experience exploring, cleaning, transforming, and interpreting complex datasets.
- Experience building dashboards, reports, data visualizations, or interactive analytical applications.
- Experience working with Git and collaborative, version-controlled development practices.
- Understanding of common data formats and architectures, including JSON, CSV, Parquet, relational databases, data lakes, and dimensional modeling concepts.
- Strong written and verbal communication skills with the ability to explain technical and analytical concepts to diverse audiences.
- Demonstrated ability to manage projects independently and work effectively in a collaborative team environment.
- Strong documentation and organizational skills.
Preferred Qualifications
- Master's degree in Data Science, Computer Science, Analytics, Statistics, Mathematics, or a related quantitative discipline.
- Experience applying statistical modeling, predictive analytics, or machine learning methods to business or research problems.
- Experience working with AI-assisted development tools and coding agents.
- Experience developing reusable analytical applications, workflows, or data products.
- Experience working across multiple institutional or business data domains.
- Other Requirements
- Passion for turning complex data into practical insights and useful tools.
- Curiosity and willingness to learn emerging technologies, analytics methods, and AI-enabled tools.
- Ability to thrive in ambiguous environments and independently translate evolving requirements into scalable solutions.
Work Arrangement
- Hybrid eligible. Candidate must be available for weekly meetings in Durham, NC.
- This position does not offer visa sponsorship.
Be Bold.
What You'll Do
- Collect, analyze, and interpret institutional data to support research, operational decision-making, and strategic initiatives across the university.
- Explore and transform data from multiple sources to improve data quality, understand business logic, and uncover meaningful patterns, trends, and opportunities.
- Apply analytical techniques, statistical methods, and machine learning approaches to answer complex business questions and generate actionable insights.
- Design, build, test, and maintain analytical applications, dashboards, visualizations, and decision-support tools that enhance data accessibility and usability.
- Leverage AI-assisted development tools to accelerate application development while ensuring quality, maintainability, and accuracy.
- Manage projects from discovery through delivery, including requirements gathering, planning, stakeholder engagement, prioritization, testing, and implementation.
- Communicate findings and recommendations to technical and non-technical stakeholders, providing context around assumptions, limitations, and business implications.
- Develop and maintain clear documentation of data sources, analytical methods, business rules, and application functionality.
- Promote best practices that improve the quality, scalability, consistency, and efficiency of analytics work across the Data Analytics Practice.
Choose Duke.
Duke University is a world-renowned institution dedicated to education, research, healthcare, and innovation. Within OIT, the Data Analytics Practice plays a critical role in helping the university leverage data as a strategic asset. By combining expertise in analytics, engineering, data management, and artificial intelligence, the team delivers solutions that help drive informed decision-making and support Duke's mission.
As Analytics Engineer, you'll work alongside talented data professionals, engineers, and institutional partners to solve meaningful challenges, develop innovative analytical solutions, and help shape Duke's evolving data and AI ecosystem. You'll join a collaborative environment that values curiosity, continuous learning, innovation, and professional growth while making a measurable impact across the university.
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 provision for requests for reasonable accommodation will be provided by each hiring department.
What Duke University employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
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