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Capital One Data Scientist Jobs in Raleigh, NC (NOW HIRING)

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... This role is a hybrid work model (4 days in office, 1 day work from home) based out of our ...

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... This role is a hybrid work model (4 days in office, 1 day work from home) based out of our ...

At least 1 year of experience in C, Rust, or other embedded languages * At least 1 year of experience with Git or other revision-control systems * Bachelor's degree in Mathematics, Data Science ...

Embedded Data Scientist

Morrisville, NC · On-site

$130K - $150K/yr

At least 1 year of experience in C, Rust, or other embedded languages * At least 1 year of experience with Git or other revision-control systems * Bachelor's degree in Mathematics, Data Science ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... Annual salary is one component of Red Hat's compensation package. This position may also be ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... Annual salary is one component of Red Hat's compensation package. This position may also be ...

Principal Data Scientist I Are you looking to develop your Data Scientist career? Would you like to ... please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal ...

Principal Data Scientist I

Raleigh, NC · On-site

$118.30 - $219.80/hr

Principal Data Scientist I Are you looking to develop your Data Scientist career? Would you like to ... please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal ...

We are seeking an Advanced Data Scientist with strong expertise in statistics, mathematical ... 1+ years (with PhD) in applied statistical modeling and machine learning, with a track record of ...

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the ... please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal ...

We are seeking an Advanced Data Scientist with strong expertise in statistics, mathematical ... 1+ years (with PhD) in applied statistical modeling and machine learning, with a track record of ...

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the ... please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal ...

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the ... please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal ...

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... capital markets, or similarly regulated, data-intensive environments. * Deep grounding in ...

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal ...

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... capital markets, or similarly regulated, data-intensive environments. * Deep grounding in ...

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal ...

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal ...

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Showing results 1-20

Capital One Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do capital one data scientist jobs pay per year?

As of Jul 31, 2026, the average yearly pay for capital one data scientist in Raleigh, NC is $119,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,200.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including for roles at companies like Capital One. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding data analysis tools. Many professionals transition into data science later in their careers and find opportunities based on their expertise and adaptability.

Can data scientists make $300k?

Data scientists at companies like Capital One can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and data analysis, and leadership responsibilities. Such high salaries are typically found in senior or specialized roles, often involving bonuses, stock options, or other incentives.

What is the salary of associate data scientist in Capital One?

The salary of an associate data scientist at Capital One typically ranges from $70,000 to $90,000 annually, depending on experience and location. Entry-level roles may start at the lower end of this range, with opportunities for growth as skills in machine learning, SQL, and Python develop.

What are the key skills and qualifications needed to thrive as a Capital One Data Scientist, and why are they important?

To thrive as a Capital One Data Scientist, you need strong analytical skills, proficiency in statistics and machine learning, and typically a degree in a quantitative field such as computer science, math, or engineering. Experience with programming languages like Python or R, data visualization tools, and familiarity with cloud platforms and big data systems are crucial. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you translate complex data insights into actionable business solutions. These skills and qualities are vital for driving data-driven decision-making and delivering impactful results within Capital One's fast-paced, innovative environment.

How does a Data Scientist at Capital One typically collaborate with cross-functional teams to drive business outcomes?

Data Scientists at Capital One work closely with cross-functional teams such as product managers, engineers, and business analysts to identify opportunities for leveraging data-driven solutions. They participate in regular meetings to define project goals, share insights from data analysis, and translate complex findings into actionable recommendations. Collaboration is often facilitated through agile methodologies, ensuring that projects align with both technical feasibility and business objectives. This teamwork fosters a dynamic environment where data science directly impacts strategic decisions and customer experiences.

How much do data scientists make at Capital One?

Data scientists at Capital One typically earn an average salary ranging from $90,000 to $130,000 annually, depending on experience, location, and education. Compensation may also include bonuses and benefits, with advanced skills in machine learning and data analysis tools enhancing earning potential.

What does a Data Scientist at Capital One do?

A Data Scientist at Capital One leverages data analysis, machine learning, and statistical modeling to solve business problems and drive innovation in financial products and services. They work with large datasets to uncover insights, build predictive models, and help teams make data-driven decisions. Projects often include fraud detection, credit risk modeling, and customer personalization. Collaboration with engineers, analysts, and business stakeholders is common to ensure solutions are scalable and practical.
What are the most commonly searched types of Capital One Data Scientist jobs in Raleigh, NC? The most popular types of Capital One Data Scientist jobs in Raleigh, NC are:
What job categories do people searching Capital One Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Capital One Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Capital One Data Scientist jobs? Cities near Raleigh, NC with the most Capital One Data Scientist job openings:
Infographic showing various Capital One Data Scientist job openings in Raleigh, NC as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Full-time

This job post has expired today. Applications are no longer accepted.


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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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