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Full Time Data Scientist Risk Jobs in Raleigh, NC

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans ...

Truist

Data Scientist II

Raleigh, NC · On-site

... risk and also provide consultation to business leaders and other stakeholders on how to leverage ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

Labcorp

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

As an Associate Data Scientist , you will join a collaborative team dedicated to solving complex ... This is a fulltime, exempt (salaried) position assigned to a First Shift schedule, with standard ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

Help shape how healthcare risk decisions are made. At The Cigna Group, pricing and underwriting ... As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ...

Truist

AI Risk Senior Specialist

Raleigh, NC · On-site

Preferred Qualifications: 1. Advanced degree in a related field (e.g., Computer Science, Data ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

IQVIA, Inc.

Senior AI Scientist

Durham, NC · On-site

$108K - $270K/yr

R&DS (Research & Development Solutions) 📄 Employment Type: Full-Time 🏢 Company: IQVIA Inc ... Drive data engineering and curation processes to transform structured and unstructured data into ...

IQVIA

Senior AI Scientist

Durham, NC · On-site +1

$108K - $270K/yr

R&DS (Research & Development Solutions) 📄 Employment Type: Full-Time 🏢 Company: IQVIA Inc ... Drive data engineering and curation processes to transform structured and unstructured data into ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... cost, risk, and operational performance. This role sets technical direction and ensures the team ...

IQVIA

Senior AI Scientist

Durham, NC · On-site +1

$108K - $270K/yr

R&DS (Research & Development Solutions) 📄 Employment Type: Full-Time 🏢 Company: IQVIA Inc ... Drive data engineering and curation processes to transform structured and unstructured data into ...

Pwc

CTIO - AI Engineer - Experienced Associate

Raleigh, NC · On-site

$50K - $140K/yr

... Risk Management/Insurance - Demonstrating proficiency in data science algorithms and workflows - Utilizing machine learning and deep learning techniques effectively - Excelling in complex data ...

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics ... Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR ...

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Showing results 1-20

All JobsData Scientist Risk JobsFull Time Data Scientist Risk JobsFull Time Data Scientist Risk Jobs in Raleigh, NC

Full Time Data Scientist Risk information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do full time data scientist risk jobs pay per year?

As of Jul 13, 2026, the average yearly pay for full time data scientist risk 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 Full Time Data Scientist Risk vs Full Time Data Analyst Risk?

AspectFull Time Data Scientist RiskFull Time Data Analyst Risk
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; sometimes certifications in risk analyticsBachelor's in Data Analysis, Statistics, or related fields; certifications are common but less specialized
Work EnvironmentCollaborates with risk management teams, develops models, analyzes complex data setsPrepares reports, analyzes data trends, supports risk decision-making
Employer & Industry UsageFinancial institutions, insurance companies, banksFinancial firms, insurance companies, consulting agencies

Full Time Data Scientist Risk roles focus on developing advanced risk models and leveraging complex data analysis, requiring specialized skills and certifications. Full Time Data Analyst Risk positions involve data reporting and trend analysis to support risk decisions, often with less emphasis on modeling. Both roles are vital in risk management but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist Risk jobs in Raleigh, NC? The most popular types of Data Scientist Risk jobs in Raleigh, NC are:
Full Time Data Scientist Risk jobs near you
Infographic showing various Full Time Data Scientist Risk job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.
Data Scientist

Data Scientist

Advance Auto Parts, Inc.

Raleigh, NC • On-site

Full-time

Re-posted 17 days ago

Job description

Job Description
Role Summary
We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in production. This role focuses on building scalable ML solutions, productionizing models, and enabling robust ML platforms for enterprise-grade deployments.
This role is a hybrid work model (4 days in office, 1 day work from home) based out of our corporate headquarters located in Raleigh, NC
Key Responsibilities
  • Build ML Models: Design and implement predictive and prescriptive models for regression, classification, and optimization problems.Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • Train and Tune Models: Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.
  • Collaboration & Communication: Work closely with stakeholders to understand business challenges and translate them into data science solutions and work in the end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes.
  • Monitoring & Visualization: Rapidly prototype and test hypotheses to validate model approaches. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, Shapley values etc.
  • Productionize ML: Build repeatable paths from experimentation to deployment (batch, streaming, and low-latency endpoints), including feature engineering, training, evaluation,
  • Own ML Platform: Stand up and operate core platform components-model registry, feature store, experiment tracking, artifact stores, and standardized CI/CD for ML.
  • Pipeline Engineering: Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train, validate, and release models on schedules or events.
  • Observability & Quality: Implement end-to-end monitoring, data validation, model/drift checks, and alerting SLA/SLOs.
  • Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies.
  • Partner & Mentor: Collaborate with on-shore/off-shore teams; coach data scientists on packaging, testing, and performance; contribute to standards and reviews.
  • Hands-on Delivery: Prototype new patterns; troubleshoot production issues across data, model, and infrastructure layers.

Required Qualifications
  • Education: Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics, Statistics or related field. MS Preferred.
  • Programming: 5+ years experience with Python (pandas, PySpark, scikit-learn; familiarity with PyTorch/TensorFlow helpful), bash, experience with Docker.
  • ML Experimentation: Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • ML Tooling: 5+ years experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML).
  • Pipelines & Orchestration: 5+ years' experience with Databricks DABS or Airflow or Step Functions, e-driven designs with EventBridge/SQS/Kinesis.
  • Cloud Foundations: 3+ years experience with AWS/Azure/GCP on various services like ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF. GCP experience is preferred.
  • Snowflake Foundations: Warehouses, databases, schemas, stages, Snowflake SQL, RBAC, UDF, Snowpark.
  • CI/CD: 3+ years hands-on experience with CodeBuild/Code Pipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services.
  • Feature Pipelines: Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning; parquet/iceberg best practices.
  • Testing & Monitoring: Unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring.
  • Operational Mindset: Incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers.
  • Soft Skills: Clear communication, collaborative mindset, and a bias to automate & document.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. We comply with all applicable federal, state, and local laws.
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https://jobs.advanceautoparts.com/us/en/disclosures
Advance Auto Parts logo

About Advance Auto Parts

Sourced by ZipRecruiter

At Advance Auto Parts we have a passion for YES. Each day we are motivated by a passion to help our Customers. We have a commitment to advance the lives of our fellow Team Members, Customers, and the Communities where we live and work.

Industry

Motor vehicle and motor vehicle parts wholesalers, retail, internet and it and elementary and secondary schools

Company size

10,000+ Employees

Headquarters location

Raleigh, NC, US

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