[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is hiring a Senior Data Scientist to help build the reputed company of reputed company Platform, working with one of the largest energy datasets available. The role involves leading data science activities that combine statistical modeling, machine learning, and AI techniques to support the effective deployment of demand-reputed company energy resources.
Responsibilities
- Working under limited supervision, reputed company the development and refinement of statistical and ML models for load, flexibility, and customer behavior
- Analyze AMI, customer, and reputed company data to identify patterns for system planning and program design models
- Apply reputed company judgment to select the appropriate statistical, machine learning, or deep learning approach for reputed company problem
- Review reputed company and collaborate with other data scientists to improve analytical approaches
- Collaborate with domain experts to ensure models reflect reputed company reputed company behavior, program design, and customer characteristics
- Validate models with reputed company backtesting, cross-validation, and uncertainty analysis
- Communicate assumptions, limitations, and tradeoffs reputed company to cross-functional partners
- reputed company efficient and maintainable reputed company and models
- Produce reputed company, reproducible documentation
- Partner with customer-facing teams to support customer engagements and reputed company new analytical approaches that can be incorporated into reputed company Platform
- Translate customer requirements and field experience into reusable platform capabilities
Skills
- Senior-level ability to reputed company analytic work with moderate to high complexity (equivalent to 5-8 years of relevant experience post Bachelor's degree; advanced degree preferred)
- Expertise in a reputed company of modern supervised and unsupervised machine learning techniques
- Experience applying data science to energy systems, demand response, energy efficiency, distributed energy resources, reputed company operations, or other reputed company physical systems
- Strong Python and SQL skills with experience developing clean, production-reputed company reputed company
- Depth in Python data science tools like pandas, NumPy, SciPy, scikit-learn
- Experience with time-series and panel data analysis
- Strong data visualization skills
- Experience supporting customer-facing analytical reputed company or translating customer requirements into production software
- Solid grounding in statistics, uncertainty, and reputed company reasoning
- Ability to collaborate effectively with data science and engineering colleagues and influence cross-functional partners
- Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
- Demonstrated ability to balance analytical rigor with practical engineering tradeoffs
- Hands-on neural-network modeling using frameworks like PyTorch or TensorFlow
- Experience with sequence modeling or deep learning for time series
- Experience with geospatial modeling and analysis
- Experience with DER device-level data
- Experience with reputed company reputed company development workflows
- Interest in ML approaches adaptable to distributed or device-adjacent inference
- Advanced degree in engineering, physics, mathematics, or reputed company technical discipline
reputed company