Data Scientist

Ascend Analytics

Applications Closed

Posted 5 months ago

Full Time

, Colorado

Remote OK

Smart Summary

As a Data Scientist, you will develop, evaluate, automate, optimize, and monitor performance of new data science models and algorithms. You will also experiment with different modeling approaches and support existing commercial software and production systems.

Ascend Analytics is seeking a Data Scientist to advance energy markets modeling and support the clean-tech power revolution. The role involves developing data science models and algorithms in Python, experimenting with different modeling approaches, and optimizing computational efficiency. A Bachelor's degree in a relevant field and 1+ years of experience are required.

Must Have Skills for ATS

Data Science

Python

NumPy

Pandas

SciPy

Time series modeling

Statistics

Algorithms

Machine Learning

Deep Learning

Data Science Models

Bachelors Degree

Masters Degree

Computer Science

Operations Research

Economics

Power Systems

Job Description

Data Scientist

Boulder, CO or Remote within U.S.  (local candidates prioritized)

Please note: Ascend Analytics is not able to offer visa sponsorships at this time. 

Your Impact at Ascend Analytics  

As a Data Scientist, you will be responsible for advancing energy markets modeling to support the clean-tech power revolution. Your strong analytical skills and ability to develop innovative problem-solving solutions will support mission critical decision analytics for renewable and battery storage power providers around the globe. Responsibilities include prototyping new solutions and extending existing models. Required skills include knowledge of classical and deep learning ML approaches and ability to implement them in Python. Familiarity with electrical energy systems and markets is preferred.    

Ascend Analytics is an innovative “climate tech” software and consulting company focused on energy analytics that are transforming the electric grid. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies, for short and long-term investment and resource planning decisions. For more information, visit www.ascendanalytics.com.  

Job Responsibilities  

  • Develop, evaluate, automate, optimize, and monitor performance of new data science models and algorithms   
  • Experiment with different data science modeling approaches (e.g. deep learning, regression, boosting, trees, etc.) in Python and research state-of-the-art modeling techniques that could apply to energy forecasting problems   
  • Develop new model features in coordination with SMEs   
  • Optimize and enhance computational efficiency of algorithms and software design   
  • Develop both prototype models and production software    
  • Supporting existing commercial software and production systems    
  • This position also involves 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.   

Required Qualifications  

  • Bachelors Degree or higher in Computer Science, Data Science, Statistics, Operations Research, Economics, Power Systems, or related discipline  
  • 1+ years of industry or academic experience in the field   
  • Experience in Python and relevant libraries (e.g., NumPy, Pandas, SciPy)    
  • Time series modeling and advanced statistics    
  • Ability to communicate with impact and confidence, both verbally and in writing    
  • Strong interpersonal skills, teamwork skills, and work ethic    
  • Interest in learning about and deploying novel software solutions    
  • Prior knowledge of, or strong interest in learning about wholesale electricity markets   

Compensation: $80,000 - $130,000                    

Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average.  

We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.   

We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.    

Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at recruiting@ascendanalytics.com .

Ascend Analytics

Ascend Analytics is an innovative software and consulting company at the forefront of the renewable energy transition. Founded in 2002, we are rapidly growing and have organically grown to a staff of 150+. Our solutions are used by well over 250 energy companies engaged in transforming power supply in North America and Europe. Ascend is owned and managed by a seasoned team with decades of software and energy expertise. We work to advance our industry-leading decision software platform to provide the actionable intelligence necessary to realize the energy transition. Our products and services are designed to drive widespread adoption of clean energy and forge synergies between economic growth and environmental responsibility.

Runway Icon
Boost Your Interview Chances

With Runway

See Your Fit for This Role

1-5 min

Your Score

?

Top Applicants

90%

Your Job Search Advantage

Key Gaps & Next Steps:

Address these in your resume & Interview

Top Strengths For This Role

Highlight these in your cover letter & interview

Your Interview Guide

A Personalized Interview Strategy

Freshest Opportunities

Never Miss a Good Fit

Get notified when jobs mach your criteria