Senior/Staff Data Scientist, Analytics

About the role

We are looking for a Senior/Staff Data Scientist with 8+ years of experience to join our Analytics team in New York.

Qualifications

• Strong SQL and Python skills — you write production-quality queries and analytical scripts
• Deep statistics background — hypothesis testing, confidence intervals, power analysis, causal inference
• Extensive experience designing and operating experimentation frameworks at scale
• Strong analytical and problem-solving abilities, with experience in data preprocessing, feature engineering, and model evaluation
• Business acumen — you translate analytical findings into clear, actionable narratives for non-technical stakeholders
• Excellent communication and narrative crafting skills, with the ability to explain complex methods to product, sales, and executive audiences
• Experience working with LLM or AI product data is a strong plus
• Familiarity with supervised learning techniques (e.g., regression, classification, gradient boosting) for predictive analytics use cases
• Exposure to unsupervised learning methods (e.g., clustering, dimensionality reduction) for customer segmentation or behavioral analysis
• Some experience working alongside or supporting ML model deployment — understanding inference pipelines, feature stores, or model monitoring
• Comfort reading and interpreting NLP/ML research papers to stay current on methodological advances relevant to our data
• Experience with BI/visualization tools (e.g., Looker, Omni, Tableau)