Data Scientist

The Hollister Group; Lynn (MA); Hybrid; USD 138,000 - 276,000; Full time

Job summary

The Hollister Group in Lynn, MA is seeking an independent data scientist to support private equity investment decisions through applied data science and machine learning. You will build predictive models from large datasets, develop proprietary analytics, and translate findings into actionable insights for stakeholders to inform strategy.

You will lead end-to-end analytics projects, incorporate alternative data sources, and perform competitive analyses.

Qualifications

• Bachelor's degree or equivalent in a highly quantitative field.
• Experience with machine learning or related areas.
• Proficiency in Python programming.
• Experience handling terabyte-scale datasets and collaborating to build models.
• Interest in venture capital and data-driven decision making.
• On-site presence three days per week at the client office in New York City.

Responsibilities

• Build predictive models and analytics from large datasets using advanced queries, data filters, and dashboards.
• Translate data findings into actionable insights for stakeholders to inform strategy.
• Lead end-to-end analytical projects from concept to deployment and monitoring.
• Incorporate alternative data sources to identify top investment opportunities for clients.
• Perform competitive analyses to assess investment viability.
• Leverage portfolio company data to improve outcomes such as forecasting and enrichment.

Skills

Machine learning

Python programming

Data analysis

Quantitative degree

Education

Bachelor's degree

Tools

Python

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.