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Full Time Data Science Manager Jobs in Raleigh, NC

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics ... Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics ... Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities. * Team Management : Build, lead, and mentor a high-performing team ...

Peter Millar

Senior Data Scientist

Durham, NC

... management. * Identify and scale high-value AI use cases across the business. Technical Competencies (Preferred): * Microsoft Fabric -- hands-on experience deploying models in the Fabric Data Science ...

Labcorp

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

This is a fulltime, exempt (salaried) position assigned to a First Shift schedule, with standard ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics ...

Truist

Data Scientist II

Raleigh, NC · On-site

... science solution design, technical delivery, and measurable business outcome. 4. Engage in ... Availability Able to work all hours scheduled, including overtime as directed by manager/supervisor ...

Pwc

Payer Healthcare Data Scientist, Manager

Raleigh, NC

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

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Showing results 1-20

All JobsData Science JobsFull Time Data Science Manager JobsFull Time Data Science Manager Jobs in Raleigh, NC

Full Time Data Science Manager information

See Raleigh, NC salary details

$30.1K

$94.4K

$167.2K

How much do full time data science manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for full time data science manager in Raleigh, NC is $94,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $122,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Science Manager vs Data Scientist?

AspectFull Time Data Science ManagerData Scientist
CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often prefers leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareUsed across industries for data analysis, modeling, and insights

The Full Time Data Science Manager oversees data teams and strategic projects, requiring leadership skills, while Data Scientists focus on analyzing data and building models. Both roles require strong technical skills, but the manager also emphasizes team management and project coordination.

What are the most commonly searched types of Data Science Manager jobs in Raleigh, NC? The most popular types of Data Science Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Time Data Science Manager jobs? Cities near Raleigh, NC with the most Full Time Data Science Manager job openings:
Full Time Data Science Manager jobs near you
Infographic showing various Full Time Data Science Manager job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $94,433 per year, or $45.4 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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