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Data Scientist

Ascend
Boulder, Colorado
Full Time
Posted October 27, 2025
$80k - $130k
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Job Description

A Data Scientist at Ascend Analytics develops and optimizes energy market models using advanced machine learning techniques to support renewable energy and battery storage decision-making in the electric grid. The role involves prototyping solutions, extending existing models, and applying statistical and financial algorithms to energy forecasting and planning.

Key Responsibilities

  • Develop, evaluate, automate, optimize, and monitor performance of new data science models and algorithms
  • Experiment with different data science modeling approaches such as deep learning, regression, boosting, and trees
  • Research state-of-the-art modeling techniques applicable to energy forecasting problems
  • Develop new model features in coordination with subject matter experts
  • Optimize and enhance computational efficiency of algorithms and software
  • Create prototype models and support their deployment into production systems
  • Support existing commercial software and production systems
  • Implement algorithms related to statistics, finance, stochastic search, and energy system simulations
  • Model high penetrations of renewable energy sources and optimize generation under uncertainty
  • Assist in planning and control of electric battery storage systems

Requirements

  • Bachelor's Degree or higher in Computer Science, Data Science, Statistics, Operations Research, Economics, Power Systems, or related discipline
  • At least 1 year of industry or academic experience in the field of data science, machine learning, or related areas
  • Experience in Python programming and relevant libraries such as NumPy, Pandas, SciPy
  • Experience with time series modeling and advanced statistics
  • Ability to develop, evaluate, automate, optimize, and monitor performance of new data science models and algorithms
  • Ability to experiment with different data science modeling approaches such as deep learning, regression, boosting, and trees in Python
  • Ability to develop new model features in coordination with subject matter experts
  • Ability to optimize and enhance computational efficiency of algorithms and software design
  • Experience in developing both prototype models and production software
  • Experience supporting existing commercial software and production systems
  • Knowledge of algorithms in statistics and finance applications, stochastic search, simulating high penetrations of wind and solar energy, optimizing generation under uncertainty, and planning and control of electric battery storage
  • Strong verbal and written communication skills to communicate with impact and confidence
  • Strong interpersonal skills, teamwork skills, and work ethic
  • Interest in learning about and deploying novel software solutions

Benefits & Perks

Compensation range: 80,000 - 130,000 USD, negotiable based on qualifications and experience
Flexible work hours
Relaxed work environment
Opportunities for advancement
Medical insurance
Dental insurance
Vision insurance
Short-term disability insurance
Long-term disability insurance
Parental leave
Dependent care spending account
401k plan

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