All roles

Open role

Data Scientist, Forecasting – Energy Storage System Optimization

Remote · France Full-time

Job Description:

  • Develop, implement, and deploy machine learning models and statistical analyses to optimize energy storage and solar asset performance across Stem's portfolio
  • Design and build data pipelines to extract, transform, and analyze large-scale datasets from energy systems
  • Collaborate with software engineering, product management, and energy experts to integrate data-driven solutions into PowerTrack platforms
  • Create data visualizations, dashboards, and reports to communicate insights and recommendations to stakeholders
  • Conduct exploratory data analysis to identify trends, patterns, and opportunities for improving system performance and business outcomes

Requirements:

  • Minimum of 1-3 years in data science, analytics, machine learning, or related field
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field, or equivalent experience
  • Proficiency in Python and data science libraries (pandas, numpy, scikit-learn, TensorFlow or PyTorch)
  • Familiarity with optimization libraries (e.g. CVXPY) and experience formulating or interpreting constrained optimization problems
  • Strong SQL skills and experience working with large datasets using SQL or SQL-like query languages.
  • Comfortable using modern AI coding assistants (Cursor, Claude Code, GitHub Copilot, etc.) to accelerate development
  • Experience writing well documented, well tested, and maintainable code
  • Version control with Git and experience using GitHub, GitLab, or Bitbucket
  • Experience prototyping analyses in Jupyter notebooks and building lightweight data applications to explore and communicate insights, using tools such as Matplotlib, Seaborn, Plotly, and frameworks like Streamlit or Dash.
  • Strong analytical and problem-solving skills with expertise in statistical methods and machine learning algorithms
  • Excellent communication and presentation abilities with capacity to translate complex technical findings for diverse audiences.

Benefits:

  • Full health benefits on the first day of employment (several medical plan options-HDHP and PPO, dental plans, FSA/HSA-with employer contribution, employer paid vision/LTD/STD/Life, variety of voluntary coverage)
  • 401k (pre- or post-tax) on first day of employment
  • 12 paid calendar holidays per year
  • Flexible time-off

More open positions

Data Scientist

Work from home Full-time role

Senior Data Scientist, Healthcare Operations

Work from home Full-time role

Data Science Expert - AI Content Specialist

Work from home Full-time role

Data Engineer (Remote / Contract)

Work from home Full-time role

Staff Data Engineer- cost and usage data - Remote

Work from home Full-time role

[Remote] Senior Finance Analyst, Sales Finance

Work from home Full-time role

Talent Acquisition Specialist

Work from home Full-time role

Insurance Sales Representative - Remote

Work from home Full-time role

Events Coordinator

Work from home Full-time role

Sports Broadcasting Assistant

Work from home Full-time role

Product Documentation and Analytics Specialist

Work from home Full-time role

Underwriter, AgCentric

Work from home Full-time role

Electrical Engineer

Work from home Full-time role

Remote Medical Billing Office Manager

Work from home Full-time role

Experienced Spanish Customer Service Agent – Remote Opportunity with careerzynith

Work from home Full-time role

Offensive Security Analyst (Structured / Non-Exploit)

Work from home Full-time role

Remote Data Entry Specialist – High‑Speed Typing, Flexible Part‑Time Home‑Based Position

Work from home Full-time role

Medical Claims Processor

Work from home Full-time role

Canada Residents Survey Participants Revelstoke Canada

Work from home Full-time role

Software Engineer II, Machine Learning (Feature Platform)

Work from home Full-time role

Senior Data Analyst

Work from home Full-time role