Verse

Senior Data Scientist, Infrastructure

San Francisco, CA · Senior

Sponsorship not specified$190k-$230kDetected 28 days ago

PythonAlgorithmsMachine LearningDeep LearningData AnalysisData ScienceStatisticsForecastingResearchCommunicationCollaborationRenewable Energy

About the role

Verse is seeking an experienced Senior Data Scientist, Infrastructure to join our Data Science Team.
As a member of the Verse team, you will work in an interdisciplinary and collaborative environment where your expertise in machine learning, data science, and energy systems will be key to delivering impactful solutions.

Statistical Analysis: Use statistical methods to support decision making under uncertainty.
Conduct Advanced Research: Lead and contribute to high-impact research focused on energy systems, including renewable energy (solar, wind, etc.), energy storage, and novel technologies (e.g. green hydrogen).

We believe speed and perseverance must be accompanied by thoughtfulness and reflection

At least 2 years of experience applying forecasting methods in the energy industry.
Familiarity with electricity markets (US and global).
Knowledge of modern, state of the art ML forecasting methods.
Deep knowledge of statistical methods and applications to real world problems.
Highly proficient in Python programming and data analysis tools.
Deep understanding of energy technologies, including solar, wind, battery storage, and grid integration.
PhD in Engineering, Operations Research, Economics or related field.
Knowledge of mathematical optimization methods, including stochastic optimization.

$190,000 - $230,000
This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant.
A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
Competitive compensation and equity grant at a high-growth start up
Diverse and inclusive working environment
All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

Competitive compensation and equity grant at a high-growth start up
Comprehensive benefits package including medical, dental and vision insurance, and 401k
Flexible hours and unlimited PTO
Machine Learning/Data Science: Apply machine learning, data science and statistical methods to advance Verse forecasting capability that is embedded in our software offerings.
At least 5 years of experience deploying machine learning forecasting algorithms in a production software environment.
Experience with machine learning, including deep learning, for time series forecasting and quantification of uncertainty.
Proven expertise in machine learning, statistical methods, and forecasting methods applied to energy systems.
Benefits and Employee Perks
Apply machine learning, data science and statistical methods to advance Verse forecasting capability that is embedded in our software offerings.

We lift each other up with humility and kindness, always putting colleagues and customers first
Collaboration and Teamwork: Work closely across business units and with our customers to share findings and ensure research outcomes are applied to real-world problems.

This listing is sourced directly from Verse's careers page and normalized into a canonical job model.