Our client is seeking a Data Scientist to apply data science and machine learning to the private equity investment process, utilizing alternative and proprietary data to drive investment decisions.
Requirements
- 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
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.)
Other
- This role requires 3 days per week in our clients office in NYC.
- Pay Range: $100-$200/hr, depending on experience and scope.
- We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.
- Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
