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Senior Data Scientist, ForecastingVerse • United States
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Senior Data Scientist, Forecasting

Verse
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Senior Data Scientist, Forecasting
Verse is seeking a Senior Data Scientist, Forecasting to join our Data Science Team. In this role, you will lead the development and deployment of advanced data-driven solutions across a range of applications, including electricity markets, renewable procurement, and Behind-The-Meter (BTM) battery storage. You will play a critical role in shaping our modeling and analytical data layer, leveraging machine learning techniques, supporting optimization modeling infrastructure, and developing scalable approaches to power Verse's software offerings. This position emphasizes strong technical depth in Python, machine learning, and analytical modeling, along with the ability to independently scope and execute complex projects end-to-end. Experience in electricity markets and energy systems is preferred. Key responsibilities include: Lead end-to-end data science projects Statistical & machine learning modeling Analytics engineering & data modeling Software development & productionization Exploratory data analysis & insight generation Machine learning and MLOps Cross-functional collaboration Technical leadership What we're looking for (minimum qualifications): Master's degree or higher in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field. A bachelor's degree with significant relevant experience may be considered. 5+ years of professional experience in data science, machine learning, or a related field Proven track record of independently leading and delivering complex modeling or data science projects Experience deploying and maintaining models in production environments Strong Python expertise, including experience with scientific computing and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow) Strong foundation in statistical modeling and machine learning, including time series forecasting and model evaluation Hands-on experience in complex transformations, dimensional modeling, and translating analytical requirements into well-structured, tested, and documented models What will make you stand out (preferred qualifications): Experience in energy, climate tech, or related domains (not required) Familiarity with optimization methods or operations research Experience with real-time or streaming data systems Prior experience mentoring or leading technical teams PhD in a quantitative field What makes Verse a great place to work? Lead with empathy Be honest & transparent Move with balance & precision Leave the world a better place Base pay range: $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. 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.
  • United States

Sprachkenntnisse

  • English
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