Data Scientist, Consumer Analytics

📋 Description

• Design, develop, validate, and deploy end-to-end analytical and machine learning solutions
• Partner with product, engineering, and business stakeholders to transform ambiguous business
• Analyze large and complex datasets to identify consumer trends, behavioral drivers, opportunities
• Build and maintain scalable data pipelines, analytical features, and machine learning models using
• Apply experimentation and evaluation methodologies, including A/B testing, backtesting, error
• Translate analytical findings and technical concepts into clear recommendations for both technical

🎯 Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or
• 5+ years of professional experience applying data science, advanced analytics, machine learning, or
• Demonstrated experience developing and implementing end-to-end analytical or machine learning
• Strong experience working with large datasets and modern data ecosystems, including distributed
• Proven ability to collaborate with product, engineering, and business stakeholders to understand
• Strong analytical and problem-solving skills, with the ability to break down ambiguous questions

🎁 Benefits

• Competitive annual base salary, with location-specific ranges: $125,900–$201,100 in California
• Eligibility for equity awards based on factors such as experience, performance, and location.
• Fully remote work arrangement for employees based in the United States, with limited location
• Compensation designed to comply with applicable state salary thresholds for exempt employees.
• Opportunity to work on high-impact data science and machine learning initiatives with broad
• Collaborative environment bringing together data science, product, engineering, analytics, and