Data Scientist - Investment Team
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
Millennium is hiring a Data Scientist to partner directly with our fundamental investment analysts and PMs within one of our trading teams. This person will (1) develop and curate high-quality data assets from the datasets we already license and generate, (2) produce actionable investment insights through rigorous statistical analysis, and (3) help define and execute our AI/LLM integration roadmap across the research and investment workflow.
This is a highly applied role: you will ship data products, analyses, and tooling that materially improve how our investment teams source ideas, test theses, monitor positions, and communicate insights.
What You'll Do
- Inventory, evaluate, and integrate internal and vendor datasets into usable, well-documented research-ready data assets with strong data quality controls.
- Develop reusable data models, metrics, and entity mapping (e.g., company/product/provider mapping, time-series alignment, cross-dataset joins).
- Translate PM/analyst questions into structured analyses and empirical tests; deliver conclusions clearly with caveats and sensitivities.
- Apply statistics and econometrics (e.g., regressions, Bayesian methods, hypothesis testing, causal/Quasi-causal thinking) to evaluate signals and explain drivers.
- Build monitoring and diagnostics for data drift, signal decay, and regime changes.
- Prototype and productionize AI-enabled research process (e.g., summarization, extraction, classification, search, analyst copilots) and workflows with clear evaluation criteria (accuracy, hallucination risk, latency, cost, auditability).
- Establish best practices for prompts, retrieval-augmented generation (RAG), tool use, and governance (PII, compliance, model risk).
- Build lightweight internal tools and interfaces that make data and insights easy to consume (e.g., Flask/Django, dashboards, notebooks, Tableau).
What You Bring
- 4+ years of experience in data science (investment firm, data analytics firm, or software firm).
- Strong Python skills (pandas/numpy/scipy/statsmodels) and Flask/Django, Tableau, Streamlit, or similar for application development
- SQL proficiency and experience with data warehouses, specifically Snowflake (or equivalent modern warehouse experience with a quick ramp to Snowflake).
- Familiarity with search/RAG, embeddings, vector databases, and evaluation of LLM systems.
- Experience with cloud tooling and orchestration (e.g., Airflow/dbt) and versioning practices (Git).
- Strong foundation in statistics / inference (e.g. Bayesian inference, regression, experimental design / quasi-experimental thinking).
- Experience in fundamental investing workflows (healthcare a plus, not required).
- Proactive, eager to learn; comfortable partnering with demanding end-users (PMs/analysts) and iterating quickly.
Salary Range
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.