Data Scientist, Consumer Analytics

What you'll do

• Design, develop, and deploy end-to-end analytical and machine learning solutions for complex business problems.
• Translate ambiguous stakeholder questions into testable hypotheses and defined success metrics.
• Build, validate, and maintain scalable data pipelines and features using modern ML tooling.
• Analyze large, complex datasets to identify trends, drivers, and opportunities for the business.
• Communicate technical findings and actionable recommendations to both technical and non-technical audiences.
• Execute experimentation and evaluation practices like A/B testing and backtesting to measure model impact.
• Establish standards for data quality, model governance, and responsible AI usage within the organization.

What we're looking for

• Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• 5+ years of experience applying data science, advanced analytics, or machine learning in a professional setting.
• Experience designing and implementing end-to-end analytical or ML solutions including data preparation, feature engineering, model development, validation, and operationalization.
• Experience working with large datasets and modern data ecosystems like distributed data processing and cloud-based platforms.
• Experience collaborating with cross-functional partners to understand requirements and deliver measurable outcomes using data and analytics.
• Ability to translate ambiguous questions into structured analyses and testable hypotheses.
• Proficiency in applying experimentation and evaluation practices such as A/B testing, backtesting, and error analysis.