Data Scientist and Investment Associate at Data-driven venture capital firm

This unique role blends data science and investment, offering a chance to significantly impact a venture capital firm's sourcing strategy. You'll develop advanced data and ML pipelines to identify high-fit companies, while also actively participating in investment decisions, founder engagement, and due diligence. Drive innovation by integrating the latest AI/LLMs into core workflows.

Data-driven venture capital firm

• Design and deploy data engineering and ML pipelines to identify high-potential companies.
• Actively participate in investment processes, from sourcing and qualification to due diligence.
• Research, prototype, and productionize LLMs, APIs, and new data sources across the firm.

• 1-2 years experience in data science, analytics, or ML engineering with production systems.
• Proficient in Python and SQL, with experience in cloud data tooling and APIs.
• Genuine passion for technology's impact on business models and venture investing.

• Lead the evolution of a proprietary data platform that has sourced ~50% of investments.
• Work within a well-funded venture capital firm, fully integrated into the investment team.
• Pioneer the application of cutting-edge AI and LLMs to reshape venture capital workflows.