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Data Scientist - NYC

Boston, MA, US • Posted 2 days ago • Updated 2 hours ago

Full Time

On-site

Compensation information provided in the description

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Workflow
Due Diligence
Collaboration
Artificial Intelligence
Analytics
Data Visualization
Management
Ideation
Competitor Analysis
Investments
Lead Generation
Forecasting
Modeling
Computer Science
Statistics
Mathematics
Finance
Machine Learning (ML)
Natural Language Processing
Linear Regression
Predictive Modelling
Data Science
Writing
Python
Venture Capital
Private Equity
Analytical Skill

Summary

Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process. As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.

Compensation:
Pay Range: $100-$200/hr, depending on experience and scope.

Note: We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.

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.)

Requirements:

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
Location: This role requires 3 days per week in our clients office in NYC.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.

#HGP

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: hollistr
Position Id: efda28c9e2972dd09386b45acc379bcd
Posted 2 days ago

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