Full-Time

Data Scientist

Confirmed live in the last 24 hours

Ascend Analytics

Ascend Analytics

51-200 employees

Software and consulting for renewable energy analytics

Consulting
Energy

Compensation Overview

$110k - $140kAnnually

Junior, Mid

Boulder, CO, USA

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
Pytorch
Pandas
NumPy
Data Analysis
Requirements
  • 2+ Years experience in a highly related role
  • BS or MS in Engineering, Computer Science, Data/Information Science, Physics, Applied Mathematics, Operations Research, Statistics, Economics, or Power Systems (or related fields)
  • Demonstrated academic or professional software coding experience in Python
  • Experience performing independent research
  • Familiarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) and machine learning development in Pytorch (or similar)
  • Strong interpersonal skills, teamwork skills, and work ethic
  • Demonstrated interest in the energy sector (e.g. coursework, professional development activities, podcasts, independent reading, etc.)
Responsibilities
  • Prototype and experiment with novel machine learning models and mathematical algorithms for short term energy market forecasting
  • Optimize and enhance computational efficiency of algorithms and software design
  • Work with our team of analysts to integrate new data sources, evaluate performance, automate, and generalize data science models within production software
  • Design and write clean, scalable, production code in Python
  • Refactor code for improved performance, stability, and scalability
  • Implement systems for collecting, storing, and working with data at scale
  • Communicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders
  • This position involves working collaboratively both within your software team and outside with the analyst team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning.

Ascend Analytics provides software and consulting services aimed at supporting the transition to renewable energy. Their products, which include Market Intelligence, BatterySIMM, SmartBidder, PowerSIMM, Ascend Energy Exchange, and EnSurance, help clients in the energy sector optimize electric power supply and manage operations effectively. These tools offer insights for real-time operations and long-term planning, catering to power traders, risk analysts, resource managers, developers, and financiers. Unlike many competitors, Ascend Analytics combines advanced software solutions with consulting expertise, allowing them to assist a wide range of clients, including utilities and financial institutions, in navigating the complexities of the energy market. The company's goal is to empower clients to make informed decisions and optimize their investments in renewable energy.

Company Stage

Growth Equity (Non-Venture Capital)

Total Funding

$704K

Headquarters

Boulder, Colorado

Founded

2003

Growth & Insights
Headcount

6 month growth

5%

1 year growth

5%

2 year growth

5%
Simplify Jobs

Simplify's Take

What believers are saying

  • Recent investment from Rubicon Technology Partners will accelerate product innovation.
  • Growing interest in virtual power plants aligns with Ascend's expertise in energy analytics.
  • Expansion of renewable energy credits trading increases demand for Ascend's analytics.

What critics are saying

  • Increased competition from emerging energy analytics startups could erode market share.
  • Rapid technological advancements may outpace Ascend's current capabilities.

What makes Ascend Analytics unique

  • Ascend Analytics specializes in energy analytics, focusing on renewable energy transition.
  • Their product suite addresses real-time operations and long-term planning needs.
  • Ascend combines industry-leading model capability with robust client support.

Help us improve and share your feedback! Did you find this helpful?