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On Call Data Scientist Machine Learning Jobs in Raleigh, NC

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ... Design and prototype machine learning models - including pricing recommendation, deal win ...

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... Develop supervised and unsupervised machine learning solutions, including classification ...

Senior Data Scientist

Cary, NC · On-site

$140 - $200/hr

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ... Design and prototype machine learning models -- including pricing recommendation, deal win ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... Use machine learning, data mining, and statistical methods to distill meaningful insights from ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ... Design and prototype machine learning models - including pricing recommendation, deal win ...

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... Leverage data analysis, machine learning, and predictive modeling to identify opportunities and ...

... data and presenting your findings to high-level customers. Responsibilities : • help CoVar ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... Leverage data analysis, machine learning, and predictive modeling to identify opportunities and ...

... customer problems • work with data, develop algorithms, evaluate results, and write the ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Raleigh, NC · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Durham, NC · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Familiarity with AI and machine learning concepts, including supervised and unsupervised learning ...

New

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Familiarity with AI and machine learning concepts, including supervised and unsupervised learning ...

New

Showing results 41-60

On Call Data Scientist Machine Learning information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do on call data scientist machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for on call data scientist machine learning in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is the difference between On Call Data Scientist Machine Learning vs Data Scientist?

AspectOn Call Data Scientist Machine LearningData Scientist
CredentialsTypically requires a master's or PhD in data science, computer science, or related fields, with expertise in machine learningSimilar educational background, often with broader data analysis skills
Work EnvironmentOn-call basis, often in fast-paced settings, providing immediate solutions for machine learning issuesStandard office environment, focusing on data analysis, modeling, and reporting
Industry UsageCommon in tech, finance, healthcare where real-time machine learning support is neededWidespread across industries for data analysis and modeling tasks

While both roles require strong data science skills, the On Call Data Scientist Machine Learning specializes in providing immediate, on-demand support for machine learning systems, often in critical environments. A Data Scientist has a broader focus on data analysis, modeling, and insights without the immediate on-call requirement.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Raleigh, NC?

The most popular types of Data Scientist Machine Learning jobs in Raleigh, NC are:

Senior Data Scientist

Q2

Cary, NC • Hybrid

Full-time

Medical

Posted 12 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