Senior Data Scientist- Machine Learning
Description For Senior Data Scientist- Machine Learning
Fluence Digital, formed after acquiring a San Francisco-based start-up AMS, is seeking a Senior Data Scientist specializing in Machine Learning. This role is crucial for advancing forecasting capabilities within their market-leading optimization product, Mosaic, designed for renewable energy and battery storage assets. The position combines deep technical expertise in machine learning, time series forecasting, and energy market dynamics with hands-on development and deployment responsibilities.
The ideal candidate will lead the development of sophisticated forecasting models, implement advanced statistical techniques, and drive key projects to completion while mentoring team members. They'll work with cutting-edge technologies including AWS, Kubernetes, and Docker, while applying machine learning to solve complex energy market challenges.
This role offers an opportunity to impact the renewable energy sector directly, working with a company at the forefront of energy storage optimization. The position requires both technical excellence and leadership skills, combining hands-on development with strategic thinking and team collaboration.
The role demands expertise in time series forecasting, stochastic modeling, and energy market dynamics, along with strong software engineering practices. You'll be responsible for end-to-end model development, from design through deployment, while ensuring scalability and reliability of solutions.
Join a dynamic team working on innovative solutions for global electricity markets, where your expertise in machine learning and data science will directly contribute to advancing renewable energy integration and market optimization.
Responsibilities For Senior Data Scientist- Machine Learning
- Design, develop, deploy, and maintain advanced statistical and machine learning models
- Leverage ensemble-based forecasting methods
- Implement stochastic processing models
- Conduct in-depth analyses of electricity market trends
- Architect and manage workflows for feature engineering
- Create, deploy, and optimize containerized solutions
- Design robust ETL pipelines
- Implement CI/CD pipelines
- Monitor deployed models and workflows
- Collaborate with cross-functional teams
Requirements For Senior Data Scientist- Machine Learning
- 5+ years of industry experience developing forecasting models
- Strong understanding of time series forecasting techniques
- Expertise in implementing stochastic processing models
- Experience developing stochastic frameworks
- Advanced proficiency in Python
- Proficiency with AWS services
- Experience in designing ETL pipelines
- Advanced degree (Master's or PhD) in relevant field
- Knowledge of energy industry and deregulated electricity markets
- Excellent communication skills
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