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Data Scientist

Verse Innovation
San Francisco, CAPosted 13 days ago

Role Overview

Verse Innovation is hiring a Data Scientist. This is a contract hybrid role, based in San Francisco. Part of Verse Innovation's Lifecycle hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Lifecycle roles is $100k-$135k (based on 500 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonPandasNumPyscikit-learnForecastingORRisk ManagementProcurement

Job description

Location: San Francisco (Hybrid in SF highly preferred, US only)

What is Verse? 

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.


Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.

The Role

Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position, you will own research projects end-to-end from problem formulation through model development to production integration. Your work feeds directly into Aria and into decisions our customers make about how to procure, dispatch, and hedge their energy assets. For example, you might spend a cycle backtesting financial performance of renewable energy projects, encoding bespoke energy contract terms into reusable and scaled models, or developing a probabilistic model for medium-term energy price scenarios.

Key Responsibilities

  • Model & Forecast: Build and improve models for renewable generation, storage dispatch, and energy price prediction using machine learning, statistical methods, and optimization techniques.
  • Own Research Projects: Scope problems with product, engineering and customer teams, design solutions, validate results against industry benchmarks, and communicate findings clearly to both technical and non-technical audiences.
  • Software Development & Productionization: Integrate research outputs into Verse’s cloud-based production environment; write clean, well-documented Python code and leverage AI coding tools to accelerate development.
  • Develop Domain Expertise: Build foundational knowledge of electricity markets and renewable energy trends; develop an understanding of key drivers (e.g., load growth, market rule changes, and renewable deployment) and learn to incorporate relevant insights into renewable energy PPA modeling and analysis.

What We're Looking For (Minimum Qualifications)

  • Master's degree in a quantitative field (engineering, computer science, economics, mathematics, operations research, physics, or similar); or
  • Bachelor’s degree and 2+ years of energy sector experience
  • Solid foundations in machine learning and statistical modeling
  • Proficiency in Python, including scientific computing libraries (NumPy, pandas, scikit-learn)
  • Familiarity with wholesale electricity market fundamentals and renewable energy technologies
  • Ability to communicate technical findings clearly to both technical and non-technical audiences

What Will Make You Standout (Preferred Qualifications)

  • Direct experience with US or European wholesale electricity markets or utility tariff structures
  • Experience with energy procurement, power purchase agreements, or risk management
  • Experience modeling the operational and/or economic behavior of solar, wind, or energy storage
  • Foundational knowledge of mathematical optimization
  • Experience shipping models to production in a commercial or research environment
  • Experience developing probabilistic forecasting models and quantifying uncertainty
  • A PhD in a relevant quantitative field.

What Makes Verse a Great Place to Work? 

  • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
  • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
  • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
  • Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$120,000 - $155,000

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.

Benefits and Employee Perks 

  • 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 
  • Diverse and inclusive working environment 

Verse is an equal opportunity employer. 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.

 

 

 

About Verse Innovation

Verse Innovation logo

Verse Innovation

verse.in

LifecycleHybrid

7 other open roles at Verse Innovation on TryApplyNow.

Frequently Asked Questions

How do I apply for the Data Scientist position at Verse Innovation?

Use the Apply button above to submit your application directly to Verse Innovation. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Data Scientist role at Verse Innovation remote or in-office?

This is a hybrid role based in San Francisco. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.

What does a Data Scientist at Verse Innovation earn?

Verse Innovation has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Data Scientist role at Verse Innovation posted?

This role was posted on July 9, 2026 (13 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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