Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design experimental frameworks, analyze data, and drive causal relationships while collaborating closely with cross-functional teams and documenting analytical standards.
Job Technologies
Your role in the team
- As a Senior or Staff Data Scientist focusing on Analytics, you'll serve as the statistical backbone of Bluefish's Data Science team.
- You will own experimentation and causal inference frameworks, produce rigorous methodological work, and serve as the key escalation point for data-driven decision-making across the organization.
- You will 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.
- This 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.
- Own experimentation end-to-end - design, execute, and analyze A/B tests and other experiments; define statistical significance frameworks.
- Führen Sie kausale Inferenzarbeiten durch – leiten Sie Analysen, die über Korrelationen hinausgehen, um die Mechanismen hinter Produkt- und Kundenergebnissen zu verstehen.
- 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.
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Our expectations of you
Qualifications
- Strong SQL and Python skills - you write production-quality queries and analytical scripts.
- Deep statistics background - hypothesis testing, confidence intervals, power analysis, causal inference.
- 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.
- Vertrautheit mit überwachten Lerntechniken (z. B. Regression, Klassifikation, Gradient Boosting) für prädiktive Analytik-Anwendungsfälle.
- Exposure to unsupervised learning methods (e.g., clustering, dimensionality reduction) for customer segmentation or behavioral analysis.
- Comfortable reading and interpreting NLP/ML research papers to stay current on methodological advances relevant to our data.
Experience
- 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.
- Experience working with LLM or AI product data is a strong plus.
- Some experience working alongside or supporting ML model deployment - understanding inference pipelines, feature stores, or model monitoring.
- Experience with BI/visualization tools (e.g., Looker, Omni, Tableau).
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What we offer
- The role is linked with our office in Berlin, but we are flexible about hybrid or remote work in Germany.
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Topics that you deal with on the job
Job Locations
This is your employer
Bluefish AI
Bluefish AI is a dynamic company based in New York that develops an advanced AI marketing platform for large enterprises. This platform assists companies in monitoring and enhancing their brand presence across various AI systems. With notable growth and clients from about 10% of the Fortune 500, Bluefish AI has positioned itself as a significant player in the field of AI-driven marketing technology.
Description
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR
Senior/Staff Data Scientist
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
