Rare opportunity to join one of the world’s leading VC firms focused in the tech space. The role is part of a new centralized analytics team that will interact with all the leading tech firms in their portfolio.

This group will be highly-visible across the company and will be responsible for transforming 6+ Petabytes of diverse data, spanning various industries, into actionable insights, products & services.

You will have direct involvement with several industries including: Healthcare, Finance, Trucking, Talent Management, Hospitality, Sports, Legal and News Media among others. This is an extremely rare opportunity to be a part of a success story from the ground up, with the feel of a Start-Up, but backed by the strong leadership and resources of leading VC firm.

SKILLS AND EXPERIENCE:

PhD or Masters in a Quantitative field
5+ years’ experience working with advanced Machine Learning methods. Neural networks, Deep learning & NLP methodologies a big plus
Experience with large datasets & distributed computing (Hive/Hadoop, Spark)
Experience with statistical tools or packages (R / Python et al)
Tensorflow & Keras a bonus
A highly motivated go-getter, capable of wearing multiple hats
The ability to deal with ambiguity in a fast-paced dynamic environment. You are not afraid to fail, but fail fast, and learn from the mistakes, making everyone around you better for it
World Class communication skills
Ability to communicate complex topics to senior executives in simple terms

THE ROLE:

Speaking to, presenting to, and understanding a wide range of stakeholders, from CEOs to Engineers to End-users and Customers
Apply advanced Machine Learning Methods for the purposes of actionable business insight
Build out a world class data science team
Deliver a data model for our first product within the first 60 days
Work with the Chief Data Architect to build the data system over the first 180 days
Review the portfolio company data as they roll out new disruptive new products and look for product development opportunities
Work with Product Managers to create new product hypothesis for testing
Look for data that may have meaningful correlations to public traded equity

VP of Data Science - Venture Capital Group