Senior/Staff Data Scientist, Analytics

As a **Senior or Staff Data Scientist** focusing on Analytics, you'll serve as the statistical backbone of Bluefish's Data Science team. You'll own experimentation and causal inference frameworks, produce rigorous methodological work, and function as the key escalation point for data-driven decision-making across the organization.

• Own experimentation end-to-end — design, execute, and analyze A/B tests and other experiments; define statistical significance frameworks
• Drive causal inference work — lead analyses that go beyond correlation to understand the mechanisms behind product and customer outcomes
• Serve as the analytics escalation point — be the go-to resource across the org when problems require deeper statistical rigor
• Build and maintain methodological standards — document and review statistical methods used across the team; ensure analytical quality and reproducibility
• Produce research — author internal research papers, benchmark studies, and methodology documentation; contribute to external-facing analyses (e.g., vertical benchmarking, state of AI)
• Support ad-hoc deep-dives — respond to data requests from RevOps, MSS, Operations, and leadership with fast turnaround and clear narrative

• 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)

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI
• Tackle challenging and abstract problems while disrupting the $300BN legacy martech industry
• Join an experienced high-performing team where you will have immediate ownership and impact
• Experience a true meritocracy with significant career growth upside as the business scales