Data Science Lead Jobs in North Carolina
Data Science Lead jobs in North Carolina are in strong and consistent demand, concentrated in technology, financial services, life sciences, and healthcare analytics across experience levels from senior individual contributor through principal and director. Charlotte, Research Triangle Park, and Durham are the primary hiring centers, anchored by institutions and companies such as Bank of America, Lenovo, and Duke University Health System. Teams in these markets are actively seeking leads with expertise in machine learning engineering, clinical data science, and NLP. Find a role that fits below and apply directly.
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King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Earth Science and Engineering (postdoc)
Location
Open Date
Apr 21, 2025
Description
Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits.
The position will combine techniques from geological modelling, geostatistics, machine learning, and potentially geophysics (inversion) to develop new exploration targeting methods. These will be designed to make the most of the excellent outcrop conditions in Saudi Arabia, which means that a particular focus will be placed on the use of remote sensing data. Other relevant data types are geological maps, geophysical surveys (gravity, electromagnetic, seismic), and soil or stream sediment geochemistry. In terms of the application to specific regions in Saudi Arabia, the candidate will be free to choose their own case study(s). However, the willingness to collaborate closely with local exploration companies is expected.
Saudi Arabia is a fast-developing country offering unparalleled opportunities in mineral resources and other geoscience-related fields. In particular, the recent opening of Saudi Arabia for international exploration companies has led to a substantial increase of activity in the mineral exploration sector. Given the great geological potential of Saudi Arabia for different types of mineral deposits, it is probably the country with the most exciting mineral exploration opportunities right now.
Conditions and life at KAUST
Applications are sought for a two-year Postdoc position (extendable). The position will include a competitive salary based on the candidate’s qualifications and experience; benefits include medical and dental insurance, free housing on the KAUST campus, an annual travel allowance, 30 paid vacation days, and other generous benefits. KAUST is a vibrant and international community, with many opportunities for social, sporting, and learning activities outside of work.
The successful applicant will be associated with the new Mineral Exploration and Exploitation Group at KAUST. The group will commence work in August 2025. Its main aim is to contribute to the development of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc students, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. KAUST provides a highly collaborative research environment, and active engagement of the holder of the position in collaborative activities within and outside of the research group will be strongly encouraged and supported.
Qualifications
Qualified applicants will hold a PhD in geophysics, geosciences, geoengineering, or another relevant discipline. Excellent coding skills in python, R, or another relevant language are expected, as demonstrated by previously completed projects. Strong candidates will also have a firm background in geostatistics, geospatial modelling, and data science, and will show excellent oral and written communication skills in English, as evidenced by a strong publication and conference presentation record. In addition, candidates should hold a driver’s licence or be willing to acquire one, and should be willing to undertake fieldwork. Experience in the mineral resource sector is desirable but not essential.
Application Instructions
Applications must be submitted through PlutoEdu (https://www.plutoedu.com/form/792303138 )
Review of applications will begin June 1, 2025. Applications will be accepted until position is filled.
Starting date
As soon as possible, ideally within Q4 2025.
Application Process
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Where North Carolina roles are concentrated, by current openings.
Data Science Lead Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Education
- Consulting & Professional Services
What North Carolina Employers Look For
The qualifications that appear most often in data science lead jobs across North Carolina.
- Bachelor's or master's degree in data science, statistics, computer science, or related field
- Demonstrated experience leading data science teams or cross-functional analytics projects
- Proficiency in Python, R, SQL, and modern machine learning frameworks such as scikit-learn or PyTorch
- Experience deploying and monitoring models in cloud environments such as AWS, Azure, or GCP
- Strong communication skills to translate complex findings for non-technical business stakeholders
- Familiarity with data governance, model risk management, and reproducible research practices
Data Science Lead Jobs in North Carolina: Frequently Asked Questions
How do you become a data science lead in North Carolina?
Data science leads in North Carolina are not required to hold a state-issued license, so the path runs through education and demonstrated leadership experience. Most employers in the state expect at least a bachelor's degree in a quantitative field, with many preferring a master's or PhD for lead roles. Building a portfolio of shipped models, contributing to open-source projects, and taking on team leadership in a senior individual contributor role are the most common stepping stones to a lead position in North Carolina.
How much do data science leads make in North Carolina?
Data science leads in North Carolina earn a median of about $119,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,970 for the lowest 10% to over $172,830 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science leads in North Carolina?
Employers hiring data science leads in North Carolina right now include Atrium Health, Gilead Sciences, and Advocate Aurora Health, based on current listings on Migrate Mate as of November 2026. North Carolina's concentration of financial institutions in Charlotte and life sciences companies in the Research Triangle means demand for leads with domain expertise in those sectors is particularly consistent.
Which North Carolina cities have the most data science lead jobs?
Raleigh, Charlotte, and Winston-Salem account for the largest share of data science lead openings in North Carolina. Charlotte's density of financial services and fintech firms drives its volume, while Raleigh and Durham benefit from the Research Triangle's ecosystem of biotech, health systems, and major technology employers that have established regional headquarters or research operations in the area.
Are there remote data science lead jobs in North Carolina?
Yes, and more than most fields. About 88% of data science lead openings tied to North Carolina are remote or hybrid as of November 2026, reflecting how well the analytical and strategic responsibilities of the role transfer to distributed work. The portions of the job most commonly performed remotely include model development, stakeholder reporting, and cross-team project coordination.
How can I get hired as a data science lead in North Carolina with little or no experience?
The most realistic entry path is moving into a lead role from a strong senior data scientist position within the same organization, which is common at large North Carolina employers in financial services and health systems. Candidates without prior lead experience can strengthen their candidacy by completing a graduate certificate in applied machine learning from institutions such as NC State or UNC, building a public portfolio on GitHub, and targeting associate data science manager or team lead titles at Research Triangle companies that run structured early-career development programs.
Where can I find and apply to data science lead jobs in North Carolina?
You can find and apply to data science lead jobs in North Carolina on Migrate Mate, which lists current openings across the state. Find roles that match your experience and apply directly from each listing.
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