Blackstone Data Science Product Engineering, Vice President
Blackstone3 days ago
Base Salary
$175k - $200k/yr
Responsibilities
- Own end-to-end delivery of agentic and machine learning models from prototyping through production, user adoption, and ongoing support.
- Partner with data scientists to productionize and scale models, including feature pipelines, model serving, retraining, and versioning.
- Translate investment, underwriting, diligence, asset-management, and portfolio-monitoring questions into models and products with investor feedback.
- Build delivery channels including web applications, MCP servers, automated reports, and Excel-based tools.
- Design agentic workflows and retrieval and reasoning systems over unstructured investment content.
- Implement data engineering, ML and LLMOps tooling, and cloud infrastructure on AWS.
- Establish evaluation, monitoring, and guardrails so model outputs are accurate, traceable, and interpretable.
- Mentor junior team members, conduct code reviews, and help build infrastructure that allows BXDS to scale.
Requirements
- An undergraduate degree in a technical discipline such as computer science, data science, applied mathematics, operations research, or engineering is required.
- At least 6 years of relevant experience as a machine learning engineer, data scientist, software engineer, or data engineer.
- Expert proficiency in Python and SQL; strongly typed or functional language experience is a plus.
- Hands-on experience building and deploying agentic AI and machine learning applications, including agentic workflows, retrieval-augmented generation, model orchestration, MLOps, and evaluation frameworks.
- Experience with statistical and machine learning modeling, including regression, forecasting, or classification, and taking models to production.
- Experience deploying models into user-facing products such as web applications, APIs or MCP servers, automated reports, and Excel tools.
- Strong foundations in statistics and mathematics, plus experience creating financial analytical models and working with financial data.
- Strong communication, project management, independent execution, and technical leadership skills.
- Preferred qualifications include investment-domain experience, familiarity with deal or portfolio data, MCP server or LLM tool-calling experience, agent-framework experience, and experience solving novel technical challenges.
Benefits
- Comprehensive medical, dental, vision, and FSA benefits.
- Paid time off, life insurance, and a 401(k) plan.
- Discretionary bonuses and possible equity or other incentive compensation for eligible employees.
- The posting provides an expected annual base salary range of $175,000-$200,000; roles outside the US follow a separate local-market compensation process.
Categories
About Blackstone
Blackstone is a public alternative asset manager that invests across real estate, private equity, credit, infrastructure, life sciences, secondaries, and hedge funds for institutional and individual investors. It raises and manages investment funds and earns management and performance fees tied to investment outcomes. Founded in 1985 and headquartered in New York, it reports over $1.3 trillion in assets under management and trades on the NYSE under the ticker BX.