Bluefish is seeking a Senior Data Scientist to build impactful, customer-centric AI solutions and drive tangible business and customer outcomes by owning the entire data science lifecycle
Requirements
- 5+ years of experience in data science, with a track record of leading and delivering impactful, production-level projects
- Strong experience with full-stack data science: data wrangling, modeling, validation, deployment, and monitoring
- Experience working with LLMs or generative AI in real-world applications
- Proficient in Python, SQL, and ML frameworks (e.g., Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, spaCy/NLTK)
- Deep understanding of experimentation techniques: A/B testing, causal inference, and how to interpret results in a business context
- Ability to balance scientific rigor with business pragmatism—understanding which experiments are worth running and which aren’t
Responsibilities
- Independently lead end-to-end data science projects: from problem definition and hypothesis generation to modeling, testing, and deployment
- Own your pipeline: design, build, and maintain scalable data workflows and ML systems without needing support from product and engineering teams
- Drive customer-focused experimentation: design A/B tests and other experiments with a clear focus on improving user experience and product outcomes
- Identify new opportunities for research and experimentation—bring forward your own ideas, test them quickly, and evaluate business impact
- Collaborate cross-functionally, especially with engineering, product, and design, while taking full ownership of your project’s goals, execution, and delivery
- Translate data into strategy: craft clear, actionable insights that directly inform product development and company direction
- Stay hands-on with cutting-edge tools and models, particularly LLMs and generative AI, and integrate them into production systems when they solve real problems
Other
- Demonstrated ability to work independently: proactively identify problems, design solutions, and push projects forward with minimal oversight
- Excellent communication skills and the ability to advocate for data-driven decisions across disciplines
- A mindset of ownership, resourcefulness, and continuous improvement
- 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
