Innowatts is a data analytics and energy transition leader who uses energy usage data, insights and best-in-class machine learning to help energy retailers and utilities from around the world manage their grids, profitability, customer relationships and sustainability goals in a digitalizing, decarbonizing, and electrifying world. To date, the Innowatts eUtility™ technology platform has leveraged data from more than 34 million meters to help energy providers ensure grid reliability, anticipate trends, secure profitability, and promote sustainability — advancing and creating a more personalized energy experience for their customers.
About the Position
We are seeking a data scientist/programmer who thrives in a challenging environment, is passionate about technology products and applies AI & Machine learning data analytics techniques to build a scalable energy analytics platform. This position will work closely with data science team to help support all facets of the data supply chain involving consumption and analytics.
Key Skills & Responsibilities
- Excellent understanding of machine learning techniques and algorithms, such as Neural Network, Random Forest, Gradient Boosting, Linear and Logistic Regression, SVM, Data Visualization, Statistical Modeling, Machine Learning, Design of Experiments, Machine Learning and Project Management, etc.
- Experience with common data science toolkits, such as R, Python, SQL
- Great communication skills
- Experience with data visualization tools, such as Tableau, Power Bi, etc.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills
- Data-oriented personality
- Preferable to have a Degree in an analytical field (e.g. Computer Science, Mathematics, Statistics, Engineering, Operations Research, Management Science) and 4+ years of professional experience
- At least 1-3 years of data analytics experience in a distributed computing environment
- Selecting features, building and optimizing classifiers using machine learning techniques
- Perform predictive analysis i.e. forecasting, dis-aggregation, customer churn etc
- Enhancing data collection procedures to include information that is relevant for energy analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated analytics systems and constant tracking of its performance
Benefits and Additional Perks:
- Fast paced, collaborative and fun environment
- Work with data and latest technology to transform industry
- Competitive salary and bonus
- Medical, dental, vision, life and long-term disability insurance
- Paid vacation
- 5 minutes from downtown with easy connectivity to all major freeways and free parking
- Ping Pong table & snacks in the break room
- Team breakfast every Friday