Preferred location SF or Denver - Remote possible for PST and MST time zones!
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
A bit about us:
Founded in 2016, We are on a mission to determine the net worth of everyone on the planet. More than 400 organizations use us to identify and engage their most promising constituents. Based in San Francisco and backed by Bullpen Capital, Bonfire Ventures, Industry Ventures, TenOneTen Ventures. ValueStream Ventures, and Auren Hoffman.
Data Science is at the core of the company DNA. Our mission is to make accurate data accessible to brands across the world.
As a member of the data science team, the data scientist will work on groundbreaking R&D projects to leverage massive structured, unstructured, transactional and real-time data sets from a variety of sources.
Are you ready to drive and scale data science in a hyper-growth environment?
Why join us?
Perks
Small team = opportunity for a big impact
Compensation includes equity and a competitive salary
Excellent company-sponsored benefits
Shiny new laptop
Monthly team events
Fully stocked kitchen
Team is currently remote with offices in San Francisco and Downtown Denver Post Covid
Job Details
Responsibilities: Enhance and extend our Java-based microservice architecture Work closely with data scientists to put machine learning models into production Work to ensure data cleanliness and accuracy at every stage of the pipeline Help to define and enhance our state of the art data pipeline Write tools to help clean, evaluate, and process data sources
Requirements 4+ years of data-related engineering experience in a professional environment Expert knowledge of SQL Extensive experience with Java and/or python Familiarity with web architectures and modern javascript Hands-on experience working with large data sets Collaborative team-focused attitude with a strong desire to advance the product and learn new things Self-starter with experience turning ideas into actionable designs Experience deploying code in a production environment Excellent written and communication skills
Bonus Experience with large graph databases Knowledge of consumer data space or economics/finance
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
