{"id":737623,"url":"https://alion.io/job/bluefishai-seniorstaff-data-scientist-analytics-2","title":"Senior/Staff Data Scientist, Analytics","company":{"id":669009,"name":"Bluefish AI","domain":"bluefishai.com","url":"https://alion.io/company/bluefishai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":23,"ghost_share":0.043,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":192,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":148000,"max_usd":292000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":465},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Feature Store","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-06-09T20:26:13Z","employer_posted_date":"2026-06-15","last_verified_at":"2026-11-09T19:48:57Z","board_verified":true,"closed_at":null,"days_open":153,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":152},"description":"About the Position\nAs 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.\nYou'll collaborate closely with Data Analysts, Applied Researchers, and cross-functional stakeholders - including Product, Marketing Strategy and Services, and Operations - to deliver insights, harden the metrics we report, and deepen the capabilities of our platform.\nThis role presents a greenfield opportunity to help define Bluefish's data science practice from the ground up, with direct impact on both our internal operations and the analytics products we deliver to customers.\nThis role is based in our NYC office and follows a hybrid working policy with 3 days in office.\nWhat You'll Be Doing\nOwn experimentation end-to-end - design, execute, and analyze A/B tests and other experiments; define statistical significance frameworks\nDrive causal inference work - lead analyses that go beyond correlation to understand the mechanisms behind product and customer outcomes\nServe as the analytics escalation point - be the go-to resource across the org when problems require deeper statistical rigor\nBuild and maintain methodological standards - document and review statistical methods used across the team; ensure analytical quality and reproducibility\nProduce research - author internal research papers, benchmark studies, and methodology documentation; contribute to external-facing analyses (e.g., vertical benchmarking, state of AI)\nSupport ad-hoc deep-dives - respond to data requests from RevOps, MSS, Operations, and leadership with fast turnaround and clear narrative\nQualifications\nStrong SQL and Python skills - you write production-quality queries and analytical scripts\nDeep statistics background - hypothesis testing, confidence intervals, power analysis, causal inference\nExtensive experience designing and operating experimentation frameworks at scale\nStrong analytical and problem-solving abilities, with experience in data preprocessing, feature engineering, and model evaluation\nBusiness acumen - you translate analytical findings into clear, actionable narratives for non-technical stakeholders\nExcellent communication and narrative crafting skills, with the ability to explain complex methods to product, sales, and executive audiences\nExperience working with LLM or AI product data is a strong plus\nFamiliarity with supervised learning techniques (e.g., regression, classification, gradient boosting) for predictive analytics use cases\nExposure to unsupervised learning methods (e.g., clustering, dimensionality reduction) for customer segmentation or behavioral analysis\nSome experience working alongside or supporting ML model deployment - understanding inference pipelines, feature stores, or model monitoring\nComfort reading and interpreting NLP/ML research papers to stay current on methodological advances relevant to our data\nExperience with BI/visualization tools (e.g., Looker, Omni, Tableau)\nAbout Bluefish\nBluefish believes that AI represents the next major chapter of the internet - and that consumers will increasingly use AI to consume information and media online. 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. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.\nThe Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.\nWhy Bluefish & Our Values\nUnique opportunity to join on the ground floor of a fast-moving startup building at the center of AI\nTackle challenging and abstract problems while disrupting the $300BN legacy martech industry\nJoin an experienced high-performing team where you will have immediate ownership and impact\nExperience a true meritocracy with significant career growth upside as the business scales\nOur Values:\nDemonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren't afraid to roll up your sleeves in a fast-paced, evolving environment\nThoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value\nProven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes\nCommitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind\nSelf-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals\nComfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done","description_format":"text","description_chars":5595,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United 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