Hof Jobs (NOW HIRING)

HOF Capital is a global multi-stage venture capital (VC) firm that partners with the world's best founders and helps them build generational category-defining technology companies. Since launching its first fund in 2016, HOF Capital has achieved top-tier performance and invested in some of the most successful technology startups of the past decade (e.g., SpaceX, Anthropic, OpenAI, Neuralink, xAI, etc.), enabling HOF Capital to grow rapidly to $10B+ of assets under management (AUM) and making HOF Capital one of the fastest-growing VC firms in history.

Due to this rapid growth, HOF Capital is seeking a world-class data scientist to join its team. This Data Scientist / Researcher will collaborate closely with other HOF Capital team members to provide the firm and its portfolio companies with important data-driven insights and to produce high-quality research content that will help drive HOF Capital’s impact on the broader tech industry.

Responsibilities:

• Assist with investment sourcing by: (1) building data pipelines and machine learning models that enable the scalable evaluation & monitoring of millions of tech companies, tech products, open-source frameworks, and tech talent, in order to identify the most promising ones; and (2) conducting data-driven research & analyses on future market opportunities, in order to identify the most promising ones.
• Assist with investment due diligence by: (1) collecting the data needed for accurate market & competitive analyses; (2) using raw data dumps from prospective portfolio companies to independently calculate important metrics; and (3) contributing to the technical / product, customer, & competitive due diligence for any investment opportunities related to data science and related fields.
• Assisting with portfolio company value-add by: (1) maintaining a centralized database of important metrics for each portfolio company; (2) providing portfolio companies with benchmark data to help them identify opportunities for improvement; and (3) advising earlier-stage portfolio companies on the build-out of their data tech stack and data-driven culture.
• Assisting with thought leadership by authoring high-quality data-driven research content that positions HOF Capital as a thought leader in the tech industry.

Minimum qualifications:

• 3 – 5 years of previous full-time work experience as a product-focused data scientist or similar role.
• Graduated from or currently enrolled at a top-tier university, ideally with a degree or major related to data science.
• Strong English writing & communication skills.
• Excellent professional & academic performance.
• Independent thinker with outstanding intellectual & analytical aptitude.
• Extremely capable, disciplined, responsible, hard-working, detail-oriented, conscientious, and self-motivated.
• Team player with no ego.
• Innate desire to become the best in the world at this role.
• Genuine passion for finding and supporting technology startups that have the potential to become generational category-defining companies.

The ideal candidate should be excited to:

• Have a real impact on the world by applying data science to VC and tech startups (many of which will be among the world’s most important companies in the long term).
• Play an important multi-faceted role in HOF Capital’s investment process.
• Help drive HOF Capital’s impact on the broader tech industry through the production of high-quality data-driven research content.
• Develop expertise in the technologies & business models within HOF Capital’s areas of interest (e.g., AI, enterprise software, deep tech, etc.).
• Do whatever it takes to help HOF Capital and its portfolio companies become leaders in their respective markets.

Compensation:

• Competitive salary + bonus + benefits.

HOF Capital is a global multi-stage venture capital (VC) firm that partners with the world's best founders and helps them build generational category-defining technology companies. Since launching its first fund in 2016, the firm has invested in some of the most successful technology startups of the past decade (e.g., SpaceX, Anthropic, OpenAI, Neuralink, xAI, etc.) and achieved top-tier investment performance throughout its history, which has enabled the firm to grow rapidly to $10B+ of assets under management (AUM).