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The job ad is no longer active
Job unpublished on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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