Do you crave data for breakfast, lunch and dinner? Well, we have a feast waiting for you! We want you to apply your creativity and conjure order out of chaos. We are passionate entrepreneurs creating disruptive technology to change the energy billing once and for all. We have taken up the challenge to bring huge energy savings to the world and ring in a new green tomorrow.
A sample of projects that we are working on and problems that we are trying to solve:
- Appliance Energy Signatures. Its the pattern recognition algorithms applied to the energy consumption signatures of various appliances to extract them from the whole house energy profile from Smart Meters.
- Identify User Behavior. Parameterize each appliance use based on user lifestyle and consumption and help them identify where to target energy reduction.
- Identify Appliance Brands. Use energy data to predict whether the user has GE or Maytag refrigerator. Very cool! Imagine the value of that information for Whirlpool to target this house for selling their appliance.
- Handling Big Data. With live data from millions of homes, imagine how interesting it would be to be able to predict the clustering of appliances based on model, year, geography, efficiency and user behavior.
Both Experienced and Fresh Graduates May apply.
Strong background in data mining, machine learning and statistical analysis.
Expert pattern recognition and predictive modeling skills (time series analysis, Markov chains, decision trees, etc.)
Fluency in analytical tools such as Matlab, R, SAS, Weka etc.
Keen aptitude for large scale data analysis with a knack for identifying key insights from data.
Fluency in programming languages like C/C++/Java and scripting languages like PHP/Ruby.
Experience using MapReduce and NOSQL (Hadoop/Cassandra/HDFS/HBase/HIVE/Pig) for data analytics is a big plus (not required though)
Strong communication and collaboration skills.
String intution (no - experience does not substitute for intution)
MS/PhD in Computer Science, Statistics, Applied Math, or related areas. Exceptionally strong candidates with a BS and relevant work experience welcome.
Competitive Salary + High Equity