Senior Data Scientist

  •  Juvo
  •  San Francisco, CA
  •  Aug. 11, 2017

Job Description

About Juvo...

Juvo was founded with an overarching mission: to establish financial identities for the billions of people worldwide who are creditworthy, yet financially excluded. In partnership with mobile network operators, Juvo’s proprietary Identity Scoring technology uses data science, machine learning and game mechanics to create an identity-based relationship with anonymous prepaid users, opening up access to otherwise unattainable mobile financial services.

Since emerging from stealth in September 2016, Juvo has increased its global reach five times over, from 100 million to 500 million, and has steadily grown its operations and employee base worldwide with 45 employees today. To date, Juvo has enabled over 250M transactions in 25 countries and 4 continents, with 1M active users per day.

Juvo just completed a $40 million USD Series B funding round with funding from by top-tier VCs including NEA, Wing Venture, and Freestyle Capital. Early investors in the company, including the former CEOs of AT&T Wireless, NYSE, Sprint, Telefonica International and Vodafone Group, have each taken part in the latest B round.

About the job...

We are looking for a talented Data Scientist to help Juvo convert user data into personalized credit scores. You will play a central role not only in ensuring Juvo’s success, but improving the financial landscape of millions, if not billions of people. As you lead key Data Science and platform initiatives, you will play a major role in the planning and construction of Juvo’s technical stack.

About you...

- You have 2+ years experience working in Data Science or Quantitative Research.

- You are comfortable in Unix computing environments, have a handful of your favorite BASH tricks and are fluent in one or more of the following programming languages: Python, Scala, R, Java

- You have worked on several projects in distributed computing frameworks such as Hadoop, Spark, Hive.

- You know your way around AWS and regularly use one or more of their services e.g., S3, EC2, EMR, Redshift, DynamoDB, Kinesis, etc.,

- You like working in a fast-paced collaborative environment where the mantra is to push to master, make sure it makes sense...and doesn't break!

Please forward your resume to