Senior/Staff Data Scientist, Analytics

The role

You will own experimentation and causal inference frameworks and serve as the statistical backbone of the Data Science team. You will collaborate with cross-functional stakeholders to deliver insights and deepen platform capabilities.

What you will do

• Own experimentation end-to-end including design, execution, and analysis of A/B tests
• Drive causal inference work to understand product and customer outcomes
• Serve as the analytics escalation point for the organization
• Build and maintain methodological standards and documentation
• Produce internal research papers, benchmark studies, and methodology documentation
• Support ad-hoc deep-dives for RevOps, MSS, Operations, and leadership

Required qualifications

• Strong SQL and Python skills
• Deep statistics background in hypothesis testing, confidence intervals, power analysis, and causal inference
• Extensive experience designing and operating experimentation frameworks at scale
• Strong analytical and problem-solving abilities in data preprocessing, feature engineering, and model evaluation
• Business acumen to translate findings into actionable narratives
• Excellent communication and narrative crafting skills
• Familiarity with supervised learning techniques
• Exposure to unsupervised learning methods
• Some experience working alongside or supporting ML model deployment
• Comfort reading and interpreting NLP/ML research papers
• Experience with BI/visualization tools

Nice to have

• Experience working with LLM or AI product data

About the company

Bluefish is an AI marketing platform for the Fortune 500. The team consists of mar-tech industry veterans building tools to help brands engage consumers on an AI-driven internet.