Data Scientist

Responsibilities

• Train, test, and ship models that power Peec AI's recommendations - helping customers boost their visibility in AI search
• Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility
• Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems
• Design and implement data pipelines to ingest, process, and analyze large volumes of data

Requirements

• Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP)
• Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features
• Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems
• Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders
• Our Data Science Stack
• Languages : Python, SQL
• Libraries : Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX
• Backend : GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery
• AI Models : OpenAI, Claude, Perplexity, Gemini, Llama, etc.
• Bonus Points
• Contributions to open-source projects
• Deployed side/hobby projects that we can check out
• Presented research papers at top ML or AI conferences
• Having started a company before or worked at a high-growth startup
• Fluency in Typescript

Benefits

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