What we are looking for
The Analytics team serves a key function at Equilibrium: driving the performance feedback loop that connects research to implementation to operations. We serve as subject matter experts, investigators, storytellers, and catalysts with the purpose of driving the company mission forward.
In order to best serve in this capacity, we are looking for a Data Scientist with experience leading operations analytics processes, driving hypothesis and idea generation, and supporting our partner teams with informative visualizations and clear storytelling. The scientist will focus primarily on virtual energy trading to start, but will be expected to flexibly move between business programs to best meet the evolving needs of the company. They will be expected to build analytical tooling, partnering with Product Managers, Traders, Scientists, Data Engineers, and Software Engineers to bring projects from ideation to completion.
What you will do
Analytics and Engineering
Conduct data-rich analyses to explore and explain trading strategy financial and operational outcomes, developing hypotheses to catalyze feature development and fundamental research
Standardize components of our current analysis space, making routine analysis requests straightforward, efficient, and effective on a repeatable basis.
Growupon our analysis frameworks by developing analytical models quickly, iterating on and expanding our analytical tool suite.
Condense and document learnings from operational analysis into proposals and action plans for standardization and automation
Actively contribute to the definition and implementation of our standardized data model by prototyping data pipelines and working closely with data engineers to define data needs and prioritization
Operations Support and Visualization
Define and manage operational performance review processes with short feedback cycles
Develop explanatory visualizations to empower critical operational decisions, working with Product Managers, Traders, Scientists, and Engineers to define needs and use cases.
Consult and collaborate with quantitative scientists and software engineers during the strategy development lifecycle, from prototyping and development to QA and go-live to sustainable operations
The minimum qualifications you'll need
Passion for clean energy and fighting climate change
BS/Master's degree in a quantitative discipline (e.g., Computer Science, Operations Research, Economics, Electrical Engineering) or equivalent practical experience.
5+ years of professional analytics experience including significant experience with clean energy systems, including energy storage controls, power market operations, time series forecasting, and simulations.
Demonstrated analytical experience with Python and SQL; ability to translate complex data sets into well-scoped analyses.
Experience communicating the results of analyses with product, engineering, and leadership teams to influence operations, product, and engineering strategy.
Effective communication skills to synthesize business and operations needs into informative proposals.
Nice to have additional skills
Demonstrated experience with Databricks
Experience using dbt to build ETL processes
Expertise with data visualization tools, including Hex, Plotly, Bokeh, and/or Tableau.
Demonstrated proactivity and self-direction. Willingness to teach as well as learn and be flexible.
Excellent team collaboration skills and collaboration-first mentality.
Experience with energy trading systems.
#J-18808-Ljbffr
