Data Scientist at Capital One leveraging technology to improve fraud prevention and customer safety. Collaborating with cross - functional teams to deliver industry - leading fraud defenses.
About the role
- Data Scientist III applying advanced analytical modeling techniques and data management expertise for business value. Collaborating across functions to develop scalable models and mentor junior team members.
Responsibilities
- As a Data Scientist III, you will apply advanced analytical modeling techniques and data management expertise to deliver actionable insights that drive business value.
- This role involves developing, validating, and deploying scalable models while collaborating across functions to address complex business challenges.
- You will leverage statistical methods, programming skills, and data visualization tools to support decision-making and optimize outcomes.
- Additionally, you will mentor junior team members and contribute to continuous improvement initiatives, ensuring alignment with organizational standards and strategic objectives.
- Collaborating with cross-functional partners, the team ensures scalable model deployment while upholding high standards of data quality and governance.
Requirements
- Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
- Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
- Option 3: 4 years' experience in an analytics or related field.
- Expertise in Python, with proficiency in libraries such as Pandas/Polars, NumPy, PySpark, TensorFlow and/or PyTorch, and a strong understanding of GPU utilization.
- Extensive hands-on experience in software development, mathematical/scientific computing, and deploying large-scale AI/ML/DS solutions in parallelized cloud compute environments (ideally GCP).
- Strong understanding and practical application of MLOps concepts like traceability, reproducibility, and scaling, using tools such as Google Vertex, MLFlow, or ClearML.
- Practical experience with DevOps tools and practices, such as Git/GitHub/GitHub Actions and infrastructure-as-code methodologies.
Benefits
- Health benefits include medical, vision and dental coverage.
- Financial benefits include 401(k), stock purchase and company-paid life insurance.
- Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
- Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
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