Specialist I
1 month ago
● Individuals with 8-10 years of total experience, including at least 5 years of core experience in Data Science.
● Design, implement, and maintain the algorithms for M&V and forecasting.
● Perform ad-hoc analysis on data to gain insights and guide decisions.
● Improve scalability of forecasting and M&V jobs by optimizing code.
● Work with other data/software/SRE engineers to troubleshoot production problems and respond to customer queries.
● Educate the team members of the data science work, including the algorithms for M&V and time-series forecasting.
● Mentor junior data scientists and software engineers.
● Gather and analyze requirements and convert functional requirements into concrete technical tasks and be able to provide consistent and reasonable effort estimates on an ongoing basis.
● Work effectively with the engineering teams distributed globally to understand project requirements, identify opportunities for collaboration, and articulate project delivery risks in advance.
● Communicate effectively across the business to team leads, subject matter experts, leadership, clients, and other stakeholders.
● Most of the codebase is in Python, and various services run on Kubernetes Clusters. We use MySQL and HBase as storage, most often, and Spark (specifically pyspark) is used to support large forecasting and M&V jobs. For monitoring, we often use Prometheus.
We follow a 2-week Scrum process, and the code is released to clients every 2-3 months
● Ability to learn a problem domain quickly and think critically. Prior experience in the energy industry, especially in electricity and demand response, is preferred.
● Possess good statistical intuition and solid understanding in various machine/statistical learning techniques for time series forecasting, e.g. ARIMA, regression-based, and deep-learning models. Hands-on experience in building forecasting models is required.
● Experience in Python data science stack, e.g. numpy, scipy, pandas, and scikit-learn.
● Experience in some parallelization framework (pyspark or Dask) is required.
● Experience with RDS and SQL is required. Experience with NoSQL databases is a plus.
● Excellent communication skills, ability to explain complex technical topics to both technical and non-technical audiences highlighting pros, cons, estimated timelines, and risks associated for prioritization, decision making and risk mitigation.
● Ability to cope with and thrive in a fast paced, dynamic work environment with evolving project requirements.
● Good programming skills and navigating a distributed infrastructure are required.
Bonus points:
● Experience in working with production codebase
● Experience working in an agile team
● Experience using containerization (e.g. Docker) and Kubernetes
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