Data Scientist - NYC

Summary

The Hollister Group is seeking a talented Data Scientist to join their team as an independent remote employee. In this role, you will own due diligence processes and influence investment decisions through data science and machine learning, collaborating within a fast-moving team passionate about AI/ML in the private equity space.

Responsibilities

• Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
• Create valuable insights from datasets directly with stakeholders
• Architect and manage analytical projects from ideation to launch
• Leverage alternative data sets to algorithmically determine the best investments for our clients
• Conduct competitive analysis to determine the soundness of investments using all relevant data sources
• Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)

Skills

• Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
• Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
• Experience writing code in Python
• Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
• Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions

Qualifications

Must Haves

• Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
• Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
• Experience writing code in Python
• Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
• Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions