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Phd Computer Science Jobs in Concord, NC (NOW HIRING)

USAA

Senior Marketing Data Scientist

Charlotte, NC · On-site

... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...

Judi Health

Senior Applied AI/ML Scientist

Charlotte, NC · On-site

$180K - $225K/yr

PhD in AI, Machine Learning or Computer Science preferred * Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development * Strong grasp of OOP, Design ...

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Phd Computer Science information

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$52.6K

$77.4K

$91.3K

How much do phd computer science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for phd computer science in Concord, NC is $77,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $87,100.00 per year, depending on experience, location, and employer.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What job categories do people searching Phd Computer Science jobs in Concord, NC look for?

The top searched job categories for Phd Computer Science jobs in Concord, NC are:

What cities near Concord, NC are hiring for Phd Computer Science jobs?

Cities near Concord, NC with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Concord, NC as of August 2026, with employment types broken down into 8% Internship, 80% Full Time, 4% Part Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $77,406 per year, or $37.2 per hour.

2027 Quantitative Analytics Program - Risk Analytics and Decision Science (PhD) - Early Careers

Wells Fargo

Charlotte, NC • On-site

Full-time

Posted 7 days ago

Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 709 frontline employees who took The Breakroom Quiz

89th of 171 rated banks

Job description

About this role:Wells Fargo is seeking talent to join the2027 Quantitative AnalyticsProgramRADS(PhD). Learn more aboutthecareerareas and lines of business atwellsfargojobs.com

Program Overview |The Wells Fargo Quantitative Analytics Program offers PhD candidates an opportunity to apply advanced analytics, artificial intelligence, and machine learning to complex business challenges at one of the world's leading financial institutions.

This 12-month development program combines hands-on project experience, mentorship, technical training, and exposure to senior leaders. Through two six-month rotations,you'llwork alongside experienced quantitative professionals, helping develop and evaluate innovative solutions that support business strategy, risk management, and customer experience across Wells Fargo.

You'llbeexpectedto bring fresh perspectives, explore innovative approaches, and contribute to solutions that support Wells Fargo's strategic priorities. Along the way,you'lldevelop not only your technical capabilities but also the business acumen and leadership skills needed to succeed in a highly collaborative environment.

Upon completion of the program,you'lltransition into a full-time role aligned with your skills, interests, programexperience,and businessneeds.#earlycareers

You could work on high-impact projects like:

  • Forecasting loss and revenue for credit card loan portfolios

  • Developing credit scorecards for consumer decisioning strategies

  • Building models toidentifymoney laundering patterns across massive transaction databases

  • Predicting operational losses using statistical and machine learning modeling

  • Applying statistical and quantitative techniques tovalidatemodel design, calibration, and implementation.

WhatYou'llExperience:

Step into a data-driven environment where advanced analytics, machine learning, and emerging technologies power smarter decisions across the enterprise. In the Quantitative Analytics Program,you'llwork at the intersection of data, risk, andinnovation-solving complex problems that directlyimpactcustomers and the broader financial system.
You'll design and deploy models that inform critical decisions across credit risk, financial crime, customer experience, and operations. From forecasting portfolio performance to applying generative AI in underwriting and customer interactions, your work will drive meaningful outcomes at scale.
Working with large, real-world datasets,you'llpartner with cross-functional teams and senior leaders to turn sophisticated quantitative techniques into actionable insights. Whether detecting fraud,optimizingstrategies, or building AI-driven solutions,you'llplay a key role in shaping how data powers the future of banking.

Program dates:July 2027 - July 2028

Program Duration:12 months

Program Location:Charlotte, NC


Required Qualifications:

  • 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline


Required Qualifications for Europe, Middle East & Africa only:

  • Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, education
  • Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline

Desired Qualifications:

  • Currently pursuing a PhD degree with an expected graduation date between December 2026 - June 2027ORgraduatedfrom a PhD program after May 2024 andarecurrently completing a postdoc withemphasis inStatistics, Data Science, Mathematics, Econometrics, Computer Science,Engineeringor related quantitative field.

  • Excellent programing skills and use of statistical software packages such as Python, R, SQL,Sparkand Java

  • Strong quantitative and analytical skills, with the ability to apply data analysis, modeling, visualization, statistics, research, and generative AI to generate insights, adapt quickly, and support innovative solutions.

  • Ability to execute with urgency, apply data and software engineering skills to design, develop, and deliver scalable solutions, and drive operational excellence with strong data management and an enterprise mindset.

  • Strong communicationskills, with the ability to foster an inclusive environment and activelyseek, apply, and respond to feedback in collaborative analytical settings.

  • Strong business acumen and understanding of capital markets, with a commitment to providing excellent service and supporting data-informed business outcomes.

  • Ability to act with integrity, support risk assessments, and apply risk controls to help manage risk in a disciplined, data-driven environment.

  • Experience anddemonstratedfirst-hand knowledge in a number of these areas: machine learning/AI models data analysis, statistical modeling, data management, and computing

Join us at Wells Fargo and become a part of a dynamic team that is shaping the future of the financial industry. Apply now and embark on a journey towards personal and professional growth in quantitative analytics.

Wells Fargo only considers candidates who are presently authorized to work for any employer in the United States and who do not require work visa sponsorship from Wells Fargo now or in the futurein order toretaintheir authorization to work in the United States.

Based on the volume of applications received, this job posting may be removed prior to the indicated close date. If you do not apply prior to the closing of thisposting, we encourage you to apply for other opportunities with Wells Fargo. Aftersubmittingyour application, pleasemonitoryour e-mail for future communications.

Posting End Date:

20 Sep 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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