Schonfeld
AI Data Scientist
$225K–$275K
New York, New York, United States · Full-time · Posted Feb 5, 2026
- Education
- Bachelor's, Master's, or PhD in Computer Science, Data Science, or a related field.
About the job
Build data pipelines, datasets, and infrastructure that support Schonfeld’s agentic AI capabilities for investment research.
What you'll do
- Develop reliable batch and real-time pipelines, ensuring data quality and integrity.
- Analyze datasets, engineer features, and curate data for model training, fine-tuning, and evaluation.
- Build AI/ML data infrastructure, including vector databases, semantic search, and LLM data retrieval solutions.
What they ask for
- Strong proficiency in Python and SQL.
- Experience building and orchestrating production data pipelines and ETL/ELT workflows.
- Experience designing data schemas and working with SQL and NoSQL databases.
- Experience analyzing data and developing models with statistical and machine-learning tools; preparing and serving data for AI/ML systems, including vector databases and embedding pipelines.
Nice to have
- Financial-domain experience, such as quantitative research or data science at a buy-side or sell-side firm.
- Experience supporting LLM or RAG systems; familiarity with distributed computing, financial data, streaming, or data-quality frameworks.
Pay
$225k and $275k (base salary)
Tools
Python, SQL, Apache Airflow, Prefect, Dagster, PostgreSQL, PyTorch, TensorFlow
AI focus
Build data foundations and infrastructure for agentic AI investment research, including datasets for model training and evaluation, vector databases, semantic search, and LLM applications.
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