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Job Description

Independent data scientist role supporting private equity investment decisions through applied data science and machine learning.

Responsibilities

  • Build predictive models and proprietary analytics from large datasets using advanced queries, data filters, and visualization dashboards.
  • Translate data findings into actionable insights for stakeholders to inform strategic decisions.
  • Lead end-to-end analytical projects from concept to deployment and monitoring.
  • Incorporate alternative data sources to algorithmically identify top investment opportunities for clients.
  • Perform competitive analyses using diverse data sources to assess investment viability.
  • Leverage ground-truth data from portfolio companies to improve outcomes such as automated lead generation and enrichment, forecasting, and churn modeling.

Requirements

  • Bachelor's degree or equivalent professional experience in a highly quantitative field (Computer Science, Statistics, Mathematics, Finance, etc.)
  • Experience with machine learning or adjacent areas (natural language processing, random forests, linear regression, predictive modeling concepts)
  • Proficiency in Python programming
  • Experience handling terabyte-scale datasets, uncovering patterns, and collaborating with managers to develop models
  • Interest in venture capital and private equity and a preference for data-driven decision making
  • Location requirement: on-site three days per week at the client office in New York City

Technologies

  • Python

Job details

  • Location: Lynn, MA (hybrid)
  • Salary: USD 100 - 200 per hour
  • Education: Bachelor's degree in a highly quantitative or relevant data science field

Inclusion and belonging

  • The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their occupation or position.

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