EnergySavvy is looking to add a Data Scientist to our productive development team. We have a strong, smart team, but we need your expertise for big data processing and analysis to take our business to the next level. You’ll help create data pipelines that handle terabytes of data, and use statistical and machine learning models to help us discover and productize insights that we believe can transform the $10B/year market for utility energy efficiency while saving the planet.
Software engineering is the heart of our company. We rely on developers to work across the company to drive features and come up with innovative ideas. Our Data Scientists digest applied math concepts and work with an engaging engineering team to turn that into code that can operate on a massive scale, while iterating rapidly and focusing on clean code. This means a leaner specification process and an excellent end product that's been built with the type of feedback you can only get by trying out aspects of each feature as they're developed.
At EnergySavvy, our data science stack is Python, SQLite, PySpark, Jupyter, Kubernetes, and AWS, and you can deploy your creations early and often to live customers. We don't care if you've never tried pieces of our stack - EnergySavvy embraces smart data scientists and software engineers who are eager to learn. This position can be based in any location.
Your role will be, very simply, to derive insight from massive energy and customer data sets to drive business and customer value.
In greater detail, your role will be to work alongside our lead data scientist and software developers to:
- Understand large data sets relating to energy usage and energy efficiency projects in order to reduce dimensionality while extracting key aspects of the data that enable cleaning, insight discovery, and robust productization of insights.
- Implement research and analysis projects including customer segmentation and propensity modeling, experimental and quasi-experimental design, and energy usage modeling.
- Identify, with the aid of subject matter experts and relevant literature, advanced machine learning, statistical, and analytical models to solve specific business challenges.
- Productize the results of your data explorations and analysis to systematize data pipelining and extraction of business value via your models.
- Work with software developers to build out supporting product code around the features you work on.
- B.S. or higher in Applied Math, Statistics, Computer Science, Engineering, or related field.
- 2+ years experience in software development for large-scale mathematical modeling in a team environment.
- Strong background in statistical or mathematical modeling.
- Proven analytical and quantitative problem solving ability.
- Solid understanding of statistical modeling/predictive analysis/recommender systems/machine learning concepts.
- Demonstrated ability to work independently and be self motivating.
- Expertise in quantitative programming packages and languages like Python, R, SAS, MATLAB, etc.
- Experience with data visualization techniques.
- Demonstrated ability to prioritize effectively in the face of multiple and shifting priorities, with the ability to switch between complex analytical thinking and attending to routine tasks without compromising quality or losing one’s focus.
- Past success with significant projects that involved an understanding of most or all of the following: software architecture, performance, scaling, data modeling, machine learning, and API design.
Nice to haves:
- Familiarity with Big Data, Cluster Computing, and Relational Database systems (Hadoop, Spark, MPP, Traditional DWs, OLAP, etc.).
- Familiarity with Kubernetes and container-based development.
EnergySavvy is a cloud software company that helps utilities transform their customer experience and operations. EnergySavvy provides personalized customer insights, breakthrough customer engagement, and automated program delivery with the industry's only platform purpose-built to enhance the customer experience and increase operational efficiency. More than 30 utilities and state programs rely on EnergySavvy to enable customer experience transformation in the modern, digital customer era.
We believe in diversity, not merely because it’s a mechanism for happier, more productive teams, but because we believe we have an obligation to work against structural discrimination. As such, we don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.