Principle Database Developer Offline

Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience ·

 

Web scraping experience is a plus

 

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

 

Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations

 

Ability or desire to learn visualization techniques and software

 

Excitement for the venture capital and private equity space and the opportunity to make data-driven decisions in it

 

Your reponsibility

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

The job ad is no longer active
Job unpublished on 28 November 2020

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