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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 will develop and optimize energy market modeling solutions to support renewable energy and battery storage decision-making, utilizing advanced machine learning techniques and statistical methods in Python to enhance energy forecasting and grid management.

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
  • Create new model features in collaboration with subject matter experts
  • Optimize and enhance the computational efficiency of algorithms and software
  • Develop prototype models and production software
  • Support existing commercial software and production systems
  • Implement algorithms related to statistics, finance, stochastic search, and energy system simulations

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
  • Knowledge of time series modeling and advanced statistics
  • Ability to develop, evaluate, automate, optimize, and monitor performance of new data science models and algorithms
  • Experience experimenting with different data science modeling approaches such as deep learning, regression, boosting, and trees in Python
  • Ability to research and apply state-of-the-art modeling techniques applicable to energy forecasting problems
  • Ability to develop new model features in coordination with subject matter experts
  • Ability to optimize and enhance the computational efficiency of algorithms and software design
  • Experience 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 communication skills to convey findings verbally and in writing with impact and confidence
  • Strong interpersonal skills, teamwork skills, and work ethic

Benefits & Perks

Compensation: 80,000 - 130,000 USD, negotiable based on qualifications and experience
Flexible work hours
Relaxed work environment
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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