Bluefish AI

Senior/Staff Data Scientist, Analytics

New York, Hybrid · Staff+

Sponsorship not specifiedDetected 37 days ago

PythonSQLMachine LearningData ScienceData VisualizationNLPLLMsStatisticsA/B TestingSalesforceResearchLeadershipCommunicationProblem Solving

About the role

About the Position As a Senior or Staff Data Scientist focusing on Analytics, you'll serve as the statistical backbone of Bluefish's Data Science team.
This role is based in our NYC office and follows a hybrid working policy with 3 days in office.
On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online, and a new marketing ecosystem will be created around AI.

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
Build and maintain methodological standards - document and review statistical methods used across the team; ensure analytical quality and reproducibility
Support ad-hoc deep-dives - respond to data requests from RevOps, MSS, Operations, and leadership with fast turnaround and clear narrative

Excellent communication and narrative crafting skills, with the ability to explain complex methods to product, sales, and executive audiences
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)
Experience a true meritocracy with significant career growth upside as the business scales
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
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

define statistical significance frameworks
Serve as the analytics escalation point - be the go-to resource across the org when problems require deeper statistical rigor
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)
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

Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren't afraid to roll up your sleeves in a fast-paced, evolving environment
Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value
Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes
Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind
Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals
Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done

This listing is sourced directly from Bluefish AI's careers page and normalized into a canonical job model.