Senior/Staff Data Scientist, Analytics

Stack

Responsibilities

• ▹Own experimentation end-to-end: design, run and analyze A/B tests and other experiments; define statistical significance frameworks
• ▹Lead causal inference analyses that go beyond correlation to explain product and customer outcomes
• ▹Serve as the analytics escalation point for problems requiring deeper statistical rigor
• ▹Build and maintain methodological standards: document and review statistical methods used across the team
• ▹Author internal research papers, benchmark studies and methodology documentation; contribute to external-facing analyses
• ▹Support ad-hoc deep-dives for RevOps, MSS, Operations and leadership with fast turnaround and a clear narrative

Requirements

• ▹Strong SQL and Python skills, writing 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: translating findings into clear, actionable narratives for non-technical stakeholders
• ▹Excellent communication and narrative skills, able to explain complex methods to product, sales and executive audiences
• ▹Familiarity with supervised learning techniques (e.g. regression, classification, gradient boosting) for predictive analytics
• ▹Exposure to unsupervised learning methods (e.g. clustering, dimensionality reduction) for customer segmentation or behavioral analysis
• ▹Some experience supporting ML model deployment: inference pipelines, feature stores, model monitoring
• ▹Comfort reading and interpreting NLP/ML research papers
• ▹Experience with BI and visualization tools (e.g. Looker, Omni, Tableau)

Nice to have

• ▹Experience working with LLM or AI product data

Soft skills

What we offer

• ▹Hybrid or remote work within Germany
• ▹Immediate ownership and impact in an experienced, high-performing team
• ▹Significant career growth as the business scales

About the company

Bluefish is building a platform that helps brands engage consumers on AI channels. The team is globally distributed, with business operations in New York City and engineering in Europe and New York.