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

Partner with product and business stakeholders to translate commercial banking problems into data science solutions, and contribute to roadmap prioritization * Collaborate with engineering teams to ...

Partner with product and business stakeholders to translate commercial banking problems into data science solutions, and contribute to roadmap prioritization * Collaborate with engineering teams to ...

Director, Data Sciences

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies. Work in a way that works for you : We promote a healthy work/life balance across ...

Embedded Data Scientist

Morrisville, NC · On-site

$130K - $150K/yr

Bachelor's degree in Mathematics, Data Science, Computer Science, Computer Engineering, or a related discipline * Willingness and interest in learning specification, design, and manufacture of ...

Lead Data Scientist

Raleigh, NC · On-site

$104.90 - $174.70/hr

You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.**Responsibilities**:* Leading the development of advanced AI and machine ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : * Leading the development of advanced AI and machine ...

You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : * Leading the development of advanced AI and machine ...

You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : * Leading the development of advanced AI and machine ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : * Leading the development of advanced AI and machine ...

... Data Science experience related to building a customer facing product Strong Python programming ... skills Experience/exposure to maintain production support alongside a team of engineers

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : * Leading the development of advanced AI and machine ...

Responsibilities : • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. • Leading the development of advanced AI and machine learning models to ...

Showing results 41-60

Data Science Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data science engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science engineer in Raleigh, NC is $126,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are popular job titles related to Data Science Engineer jobs in Raleigh, NC?

For Data Science Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in Raleigh, NC look for?

The top searched job categories for Data Science Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Science Engineer jobs?

Cities near Raleigh, NC with the most Data Science Engineer job openings:

Infographic showing various Data Science Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,088 per year, or $60.6 per hour.

Senior Data Scientist

Q2

Cary, NC • Hybrid

Full-time

Medical

Posted 10 days ago


Job description

As passionate about our people as we are about our mission.

Why Join Q2?

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.


What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning, community service, and culture-building experiences-we create opportunities to connect, grow, and make an impact.


The Job At-A-Glance:

Q2's Relationship Pricing platform, used by thousands of commercial bankers across hundreds of banks of all sizes, empowers bankers to win better deals and grow stronger relationships. As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate production systems that power the analytics and insights uncovered from one of the world's largest commercial banking datasets and play an active role in shaping the product roadmap by identifying where data science and AI can create highest business and user value.

A Typical Day:

  • Explore and engineer features from large, complex commercial banking datasets including loan pricing, relationship profitability, and deal performance data
  • Design and prototype machine learning models - including pricing recommendation, deal win likelihood, and anomaly detection - and see them through to production deployment
  • Build and evaluate LLM-powered features including RAG pipelines, prompt engineering, and embedding-based retrieval over banking data
  • Partner with product and business stakeholders to translate commercial banking problems into data science solutions, and contribute to roadmap prioritization
  • Collaborate with engineering teams to deploy and maintain production-grade models and analytics systems
  • Mentor junior team members and contribute to best practices in modeling, experimentation, and responsible AI
  • Communicate findings and model insights through compelling visualizations and presentations to both technical and non-technical audiences

Bring Your Passion, Do What You Love. Here's What We're Looking For:

  • Typically requires a Bachelor's degree in Data Science, Computer Science, Statistics, or a relevant field and 8 years of related experience; or an advanced degree with 6+ years of experience; or equivalent related work experience
  • Strong proficiency in Python or R, SQL, and machine learning libraries
  • Hands-on experience with large language models including prompt engineering, RAG and LLM evaluation frameworks
  • Proven ability to lead end-to-end data science projects from discovery through production
  • Experience writing clean, maintainable code and using version control (e.g., Git).

Preferred experience:

  • Familiarity with vector databases and embedding-based retrieval
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Experience with BI tooling (PowerBI or equivalent)
  • Experience with financial services, banking or fintech - commercial banking familiarity strongly preferred

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Health & Wellness

  • Hybrid Work Opportunities

  • Flexible Time Off

  • Career Development & Mentoring Programs

  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents

  • Community Volunteering & Company Philanthropy Programs

  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.

Our Culture & Commitment:

We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.

We are 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, age, disability, genetic information, or veteran status.


Applicants in California or Washington State may not be exempt from federal and state overtime requirements


Q2 logo

About Q2

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Austin, TX, US

Year founded

2004