Architect / Principal Engineer, Data Science

Location: Redwood Shores, CA

Department: Engineering

Type: Full Time

Min. Experience: Mid Level

About the Job

  • Develop and maintain the forecasting and optimization software that drives AutoGrid’s core real-time analytics platform for energy markets
  • Benchmark and debug critical issues with the algorithms and software as they arise
  • Prototype new methods and analyses on customer data sets

About You

  • BS., MS., or Ph.D. in computer science, operations research, statistics or related field
  • Exposure to very large forecasting and optimization problems and techniques, including large-scale time series forecasting, customer response modeling, linear/integer/dynamic programming, econometrics
  • Good understanding of  algorithms, data structures, performance optimization techniques, relational databases, and software development in a team environment
  • Excellent programming skills in Python, Java or C++

Nice to Have

  • Hands-on experience with Support Vector Regression (SVR), econometric price-response models, and signal processing methods
  • Hands-on experience with electric power load forecasting using interval meter data
  • Experience building successful products that critically depend on Hadoop or other NoSQL platforms
  • Start-up experience, entrepreneurial spirit, energetic!

 

Benefits and Perks

  • Collaborative, close-knit environment 
  • Working with a really smart and fun group of people on solving BIG problems for a GIGANTIC industry
  • Competitive salary with equity
  • Medical, Dental, Vision insurance (PPO, HMO options)
  • 401(k) and Flexible Spending Accounts
  • Choice of your computer (Mac OS X, Ubuntu Linux, Windows)
  • Flexible hours
  • Easy parking
  • Catered team lunch everyday
  • H-1B visa transfers welcome
Forward this Position
Recipient email address (one)
Your name
Your email address
Enter a message (optional)
Apply for this Position
* Required fields
Using "Apply With LinkedIn" in IE11? Read this first. Connecting LinkedIn
First name*
Last name*
Email address*
Phone number*
Resume*

Attach resume ( .pdf, .doc, .docx ) or paste resume

Paste your resume here or attach resume file

Cover Letter*
LinkedInLinkedIn profile URL:*
References: Please enter names and contact information: