Data Scientist, Consumer Analytics

Overview

Data Scientist, Consumer Analytics (Specialist II) applies advanced analytics and machine learning to solve moderately complex business problems and deliver production-quality data products and insights.

What you'll do

• Lead design, development, and deployment of end-to-end analytical and ML solutions.
• Partner with stakeholders to frame ambiguous questions into testable hypotheses and define success metrics.
• Build, validate, and maintain scalable data pipelines, features, and models for production.
• Analyze large, complex datasets to identify trends, drivers, and opportunities.
• Apply experimentation and evaluation practices such as A/B testing and backtesting to measure impact.
• Contribute to standards, documentation, and best practices for data quality, model governance, and responsible use of data and AI.

What you'll need

• Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• 5+ years of professional experience applying data science, advanced analytics, or machine learning.
• Experience designing and implementing end-to-end analytical or ML solutions (data preparation, feature engineering, development, validation, operationalization).
• Experience working with large datasets and modern data ecosystems (distributed processing, cloud-based data platforms).
• Experience collaborating cross-functionally to understand requirements and deliver measurable outcomes.
• Equivalent combination of education and experience.

Details

• Job is categorized as Remote; remote employees work from a physical location of their choice that must be identified to the company.
• U.S. employees may live in any of the 50 United States (with limited exceptions).