Ascend Analytics
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
Required Qualifications
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.
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