Offer summary

Qualifications:

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field., 3 to 6+ years of professional experience in data science or analytics, preferably in energy., Proficiency in Python and SQL, with experience in machine learning libraries like scikit-learn and TensorFlow., Knowledge of predictive modeling, time-series analysis, and energy market concepts..

Key responsibilities:

Develop and enhance forecasting models for utility clients.

Analyze large datasets to identify trends and insights.

Build and validate predictive models and machine learning algorithms.

Collaborate with teams to translate business needs into analytical solutions.

Job description

We are seeking a highly analytical and mission-driven Data Scientist for a contract position developing and enhancing forecasting models to support the needs of Olivine’s electric utility clients. This position is ideal for someone with strong expertise in predictive modeling, a deep understanding of time-series analysis, and a passion for applying data science in the energy sector. We are seeking only direct contracting with USA-based candidates at this time. This is a remote role.
What you bring
● Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a
related quantitative field.
● 3–6+ years of relevant professional experience in a data scientist or analytics role; energy industry
experience strongly preferred.
● Knowledge of regressions models and performance metrics (like R2, MSE, RMSE, and
MAPE)
● Proficiency in Python and SQL
● Demonstrated experience with machine learning and data science libraries (e.g., scikit-
learn, matplotlib, Statsmodels, TensorFlow).
● Demonstrated experience with building reliable up-to-date predictive models used to
drive business decisions (preferably in forecasting applications) by managing numerous
datasets.
● Ability to interpret complex data and build compelling visualizations to tell a story and
present insights.
● Excellent written and verbal communication skills.
● Experience working with cloud platforms (e.g., Azure) is a plus.
● Familiarity with energy markets, demand response, or grid optimization is a significant
advantage.
What you will do
You will support internal teams developing models to provide actionable forecasts in service of
Olivine’s implementation of Demand Response (DR) and Distributed Energy Resource (DER)
programs.
● Develop forecasting models to predict key factors supporting our utility programs
● Analyze large and complex datasets to identify trends, patterns, and actionable insights
in support of energy and climate-focused programs.
● Design, build, and validate predictive models and/or machine learning algorithms to
support operational forecasting and optimization.
● Collaborate with technical staff, program managers, and external partners to translate
business needs into analytical solutions.
● Support the implementation of data pipelines to automate and integrate forecasts within
our software.
● Provide technical expertise in data management, feature engineering, model
development, and performance evaluation.
Who we are
Olivine, Inc. is a small and growing distributed energy resources (DER) and grid services
company on a mission to create a clean and sustainable environment for everyone in our
community. Olivine is leading the way to decarbonize our electrical grid and fight climate change
by providing equal and affordable access to clean technologies.

This is a 6 month contract role based in the United States with a range dependent on
qualifications and experience from 55-85 USD per hour and ineligible for Company's employee
benefit package.
Direct applicants only. We do not work with recruiters or Agencies

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