CO
Data Scientist at Capital One on the LLM Customization Team utilizing the latest in computing and machine learning technologies. Collaborating with data scientists and engineers to deliver AI powered products.
About the role
- Partner with product managers, designers, and engineers to define analytics requirements for new features and enhancements across eCommerce and mobile experiences
- Translate business questions and measurement goals into detailed tracking plans specifying event names, parameters, and data layer structure
- Ensure accurate implementation of tracking plans through QA/testing and collaborate with development teams to resolve data quality issues
- Work hands-on with in-house data products and analytics platforms to capture, structure, and analyze digital product performance data
- Analyze clickstream, transaction, and engagement data to uncover root causes, identify experience enhancements, market opportunities, and solution gaps
- Build and maintain reporting, dashboards, and workspaces to monitor KPIs such as conversion rate, retention, average order value, MAU/DAU, and customer lifetime value
- Translate insights into actionable recommendations and present them to digital product teams, leadership, and cross-functional stakeholders
- Partner with vendors and agency partners to measure the impact of new features, A/B tests, merchandising changes, and customer experience improvements
- Contribute to the strategic development and optimization of the eCommerce and mobile analytics tool stack (Adobe Analytics, Google Analytics 4, mobile instrumentation)
- Stay informed on industry trends in digital commerce, mobile UX, personalization, and marketing technology
- Manage project timelines, requirements, and communications to ensure deliverables meet deadlines and quality standards
Requirements
- BA/BS in Marketing, Business, Statistics, Computer Science, Economics, or related field
- 3+ years in analytics or development, ideally in digital product or commerce
- Experience gathering business and technical requirements for analytics instrumentation
- Ability to translate requirements into tracking plans, data layer specifications, and implementation briefs
- Familiarity with tag management systems, SDK-based event tracking, and event taxonomy design
- Understanding of standard eCommerce and mobile app behavioral metrics (conversion funnels, retention, engagement)
- Hands-on experience validating analytics implementations and troubleshooting data quality issues
- Knowledge of SQL for event-level data analysis; Python or other scripting languages is a plus
- Strong collaboration skills to work effectively with product managers, engineers, and data teams
- Preferred: experience with Adobe Launch or Google Tag Manager
- Preferred: experience with Power BI, Tableau, Google Data Studio
- Preferred: experience working in an agile development environment
- Preferred: basic understanding of HTML, CSS and JavaScript
- Work authorization: GM does not provide immigration-related sponsorship for this role (do not apply if you will need sponsorship)
Benefits
- Medical
- Dental
- Vision
- Health Savings Account
- Flexible Spending Accounts
- Retirement savings plan
- Sickness and accident benefits
- Life insurance
- Paid vacation & holidays
- Tuition assistance programs
- Employee assistance program
- GM vehicle discounts
- Incentive pay program (bonus potential based on company, job level, and individual performance)
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