Position: Data Scientist  - Private Equity Firm
Company: Techtree
Experience required: 2y
English level: upper

Your ideal profile (someone with 1/2 years of experience)

Bachelors degree or concentration in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Finance, etc.) or equivalent professional experience

Experience or interest in at least one web scraping and one web crawler tool, i.e. Selenium, Scrapy, Beautifulsoup

Basic experience with ML or adjacent fields, e.g., natural language processing, random forest, linear regression, statistical learning theory, predictive modeling,and data science concepts

Experience writing code in Python, Java, and Javascript with documentation for reproducibility

Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with managers to develop models

Ability or desire to learn visualization techniques and software

Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decision

Your responsibility
Ingest, integrate, clean, map, and analyze dozens of unique external and internal alternative data sets

Automate and create heat maps to augment firm’s investment decisions and due diligence

Autonomously create and manage analytical projects and bring them from ideation to launch

Create and communicate valuable insights from our datasets

Python & SQL-driven Analysis: Create predictive models and proprietary analytics from large datasets using advanced queries, filters, cohort, retention, concentration, penetration, elasticity, and competitive analyses

Help create and maintain internal datasets such as web-scraped data