Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and enhance the rules, heuristics, and models that drive model and provider routing systems.

• Create analytical products and perform in-depth analyses to assist users in understanding usage, diagnosing issues, and optimizing workflows.

• Design and deliver user-facing data features, which include task-type classification taxonomies and public rankings of model performance.

• Establish and monitor product metrics such as feature adoption, user engagement, and overall platform health.

• Connect insights to the product roadmap and architectural decisions.

• Contribute to the foundational elements of the dbt and ClickHouse data warehouse.

• Collaborate with customer-facing, engineering, and product teams to transform insights into delivered features.

• Manage analytical inquiries from beginning to end, including problem framing, data exploration, and final delivery.

⛳️ Requirements

• Proven experience in building and deploying production-level data products, including models, algorithms, classifiers, scoring systems, or automated processes.

• Capability to collaborate with engineering and product teams to translate insights and analytics into customer-facing features.

• Strong proficiency in SQL, including the ability to write complex and efficient queries on large-scale analytical databases such as ClickHouse or BigQuery.

• Extensive knowledge of AI and agents, encompassing model evaluation, prompt engineering, and the agentic ecosystem.

• Solid statistical and mathematical background in distributions, causal inference, and experimental design.

• Proficiency in Python or a similar scripting language for model prototyping, running simulations, and constructing data pipelines.

• At least 4 years of relevant experience in data science, applied machine learning, or quantitative product roles at a high-growth company.

• Product-oriented mindset with a strong sense of product development.

• Ability to work autonomously in fast-paced, low-structure environments.

• Extensive use of coding agents, MCP servers, and modern AI technologies.

• Strong problem-solving skills and the ability to navigate uncertainty.

• Excellent written communication skills for both technical and non-technical audiences.

• Experience with LLM evaluation and benchmarking, developer platforms, APIs/SDKs, usage-based products, NLP, machine learning engineering, or TypeScript is a plus.

🏝️ Benefits

• Equity offered