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Data Science Developer Jobs in North Carolina (NOW HIRING)

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field. * 8+ years of overall experience in AI/ML engineering and/or data science. * 5+ years of ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... programming concepts) and graduate level courses at the 500 level. Instructors will join a ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... programming concepts) and graduate level courses at the 500 level. Instructors will join a ...

Cliftonlarsonallen

Manager of Data Science

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions. Workflow Management * Own delivery outcomes for data science and AI workstreams ...

Wells Fargo

Lead Data Science Consultant

Charlotte, NC · Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

... programming, to recommend ways to solve problems and influence business decisions and strategies o Provide consultation to peers on data science best practices, methods, and tools to leverage o ...

Deloitte

Lead AI and Data Science Engineer II

Charlotte, NC · On-site

$100K - $131K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

Deloitte

Lead AI and Data Science Engineer II

Raleigh, NC · On-site

$99K - $131K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

Archgroup

AVP, AI (Data Science/Engineer) Remote - EST

Raleigh, NC · Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mentor data scientists, AI engineers, and analysts on agentic AI, model evaluation, prompt engineering, and responsible AI practices. Establish standards for AI evaluation, monitoring, governance ...

Archgroup

AVP, AI (Data Science/Engineer) Remote - EST

Raleigh, NC · Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mentor data scientists, AI engineers, and analysts on agentic AI, model evaluation, prompt engineering, and responsible AI practices. Establish standards for AI evaluation, monitoring, governance ...

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All JobsData Science Developer JobsData Science Developer Jobs in North Carolina

Data Science Developer information

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How much do data science developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data science developer in North Carolina is $51.63, according to ZipRecruiter salary data. Most workers in this role earn between $42.40 and $61.15 per hour, depending on experience, location, and employer.

What is a data science developer?

A Data Science Developer is a professional who combines expertise in programming, statistics, and data analysis to build models and algorithms that extract insights from large datasets. They often work with machine learning techniques, data visualization, and various data processing tools to solve business problems. Data Science Developers collaborate with other teams to design and implement data-driven solutions, and are skilled in languages like Python, R, or Scala. Their work is essential for organizations looking to leverage data for decision-making and innovation.

What are some common challenges data science developers face when integrating models into production environments?

Data Science Developers often encounter challenges in bridging the gap between developing models in experimental settings and deploying them into scalable, reliable production systems. Issues such as data inconsistencies, version control, and ensuring model reproducibility can arise. Additionally, collaborating effectively with DevOps and engineering teams to automate deployment pipelines and monitor model performance is crucial for long-term success. Understanding both machine learning and software engineering best practices helps overcome these hurdles and ensures smooth, efficient integration.

What are the key skills and qualifications needed to thrive as a data science developer, and why are they important?

To thrive as a Data Science Developer, you need strong expertise in statistics, machine learning, programming (Python, R), and a background in computer science or a related quantitative field. Familiarity with data analysis tools (such as Pandas, NumPy, and scikit-learn), cloud platforms (like AWS or Azure), and experience with databases (SQL/NoSQL) are typically required, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving skills, effective communication, and the ability to collaborate with cross-functional teams help you stand out. These skills are essential for building data-driven solutions that translate complex data into actionable business insights.

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

AspectData Science DeveloperData Analyst
Required SkillsProgramming, machine learning, data modelingData visualization, statistical analysis, reporting
CertificationsData Science certifications, Python/R expertiseExcel, SQL, Tableau certifications
Work EnvironmentTech companies, startups, R&D teamsBusiness departments, marketing, finance
Job FocusDeveloping algorithms, predictive modelsInterpreting data, generating reports

While both roles analyze data, Data Science Developers focus on building models and algorithms to solve complex problems, often requiring programming and machine learning skills. Data Analysts primarily interpret existing data sets to generate insights and reports for business decisions. The roles overlap in data handling but differ in technical depth and objectives.

Is data science a growing career?

Data science is a rapidly expanding field with increasing demand for professionals skilled in statistical analysis, machine learning, and data visualization. As organizations rely more on data-driven decision-making, roles like data science developers are expected to grow significantly in the coming years.

Is data science hard to learn?

Data science is a complex field that requires learning skills in programming, statistics, and data analysis, which can be challenging for beginners. Success often depends on prior knowledge, dedication, and practice with tools like Python or R, as well as understanding data concepts. While it can be difficult initially, consistent effort and training can make it manageable for many learners.

Is data science highly paid?

Data science developers are generally well-paid due to high demand for skills in statistical analysis, machine learning, and programming languages like Python and R. Salaries vary by experience, location, and industry, but data science roles often offer competitive compensation compared to other tech positions.

What are popular job titles related to Data Science Developer jobs in North Carolina?

For Data Science Developer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Data Science Developer jobs in North Carolina look for?

The top searched job categories for Data Science Developer jobs in North Carolina are:

Data Science Developer jobs near you
Infographic showing various Data Science Developer job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $107,394 per year, or $51.6 per hour.

Lead Machine Learning / Data Science Engineer

CapTech Consulting

Charlotte, NC • On-site

$54.50 - $72/hr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Lead Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • 7+ years of experience delivering data engineering and machine learning solutions on cloud platforms
  • Bachelor's degree or equivalent combination of education and experience.
  • Experience providing technical leadership and mentoring other engineers in data engineering space
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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