Data Scientist

Ascend Analytics

The Role

Overview

Develop and deploy ML models for energy market forecasting and analytics.

Key Responsibilities

  • model development
  • feature engineering
  • algorithm optimization
  • prototype models
  • production software
  • system support

Tasks

-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, evaluate, automate, optimize, and monitor performance of new data science models and algorithms -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

Requirements

  • time series
  • python
  • numpy
  • pandas
  • bachelor's
  • teamwork

What You Bring

-Time series modeling and advanced statistics -Ability to communicate with impact and confidence, both verbally and in writing -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. -Experience in Python and relevant libraries (e.g., NumPy, Pandas, SciPy) -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 -Prior knowledge of, or strong interest in learning about wholesale electricity markets -Strong interpersonal skills, teamwork skills, and work ethic

The Company

About Ascend Analytics

-Its software suite—BatterySIMM, PowerSIMM, SmartBidder—empowers clients to plan, value, optimize, and bid energy and storage assets. -Typical projects span long‑term forecasting, real‑time operations, portfolio planning, bidding strategy, and valuation tied to physical grid conditions. -Specializes in energy transition analytics for utilities, IPPs, renewable developers, financiers and corporates worldwide. -Though headquartered in Boulder, the firm supports markets in North America and Europe, with standout clients like Tokyo Gas America.

Sector Specialisms

Utilities

Energy

Industrial

Commercial

Government

Infrastructure

Asset Valuation

Risk Management

Electric Retailers

Investors

Banks

Developers

Project Finance

Portfolio Management

Market Intelligence

Carbon-Free Energy

Renewables

Storage

Power Markets

Visa Sponsorship

-no visa sponsorships are offered.