Senior AI Data Scientist

This is a fully remote position, open to applicants in New York.

📋 Description

• Design and develop machine learning systems that drive enterprise search, retrieval, recommendations, and AI agents.

• Create evaluation frameworks and metrics to assess the quality, performance, and business impact of LLM-powered applications.

• Construct scalable data and machine learning pipelines for extensive AI interaction data.

• Utilize statistical modeling, experimentation, and causal inference to inform product development and strategic decision-making.

• Work collaboratively with Product, Engineering, and Design teams to convert research and insights into actionable production features.

• Examine product usage and customer behavior to enhance AI adoption, productivity, and overall user experience.

• Prototype, assess, and implement AI capabilities using foundation models, embeddings, and retrieval-augmented generation techniques.

• Establish key performance indicators and analytical frameworks to guide product strategy and company-wide decision-making.

• Identify opportunities to harness machine learning and generative AI within the AI platform.

• Provide mentorship to junior team members and promote best practices in data science, experimentation, and machine learning.

⛳️ Requirements

• Minimum of 5 years of experience in Data Science, Applied Machine Learning, or quantitative research, or 3 years with a PhD.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Machine Learning, Economics, Physics, or a similarly quantitative field.

• Strong expertise in Python and SQL.

• Proven experience in constructing scalable data and machine learning pipelines.

• In-depth knowledge of statistics, experimentation, causal inference, and predictive modeling.

• Experience in developing and deploying machine learning models in production environments.

• Familiarity with handling large-scale datasets and contemporary data infrastructure.

• Knowledge of LLMs, embeddings, retrieval systems, RAG, or AI agents.

• Ability to transform ambiguous challenges into quantifiable solutions.

• Exceptional communication skills and capability to collaborate effectively across engineering, product, and leadership teams.

• Comfort in a fast-paced, high-ownership startup environment.

• Located in NYC with the capacity to work from the Brooklyn office, or the option to work remotely.

• For remote positions, must be based in the U.S. and willing to travel up to 30% of the year for team collaboration.

• Preferred: experience in building or assessing LLM-powered products or AI applications.

• Preferred: background in search technologies, recommendation systems, information retrieval, or knowledge graphs.

• Preferred: experience in designing A/B tests, offline evaluations, and machine learning benchmarking frameworks.

• Preferred: familiarity with vector databases, embedding models, and agent orchestration frameworks.

• Preferred: contributions to open-source machine learning projects or publications in the fields of machine learning, NLP, or related disciplines.

• Preferred: experience in B2B SaaS, developer tools, or enterprise AI products.

🏝️ Benefits

• Compensation & Equity – a competitive package that reflects growth, performance, and merit.

• Career Growth Opportunities – join a rapidly growing global technology company with potential for professional advancement.