[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. Electric Power Engineers is an innovative company focused on shaping the grid of the future through advanced energy intelligence. They are seeking a Senior Data Scientist to utilize AI and machine learning for load forecasting and data analysis, collaborating with various teams to integrate and automate forecasting processes.

Responsibilities

• End-to-End Load & DER Forecasting Ownership
• Design, build, and maintain short-term (hours-to-days) and long-term (years-to-decades) load and DER forecasting models ranging from premise- to system levels of granularity.
• Integrate hierarchical, probabilistic, and physics-aware ML approaches; reconcile forecasts across network layers while honoring grid constraints.
• DER Behavior & Program Evaluation
• Model EV, PV, battery, DR, time-varying rates and heat-pump adoption curves and load flexibility; quantify coincident impacts and uncertainty bands for planning and real-time operations.
• Apply causal-impact methods (difference-in-difference, synthetic control) to measure demand-response and VPP performance.
• Scalable Data Engineering
• Ingest and curate sub-hourly AMI, SCADA, weather, and DER telemetry into cloud feature stores (Azure/AWS/GCP; Databricks, Delta/Parquet).
• Automate data-quality checks, lineage, and schema evolution for millions of devices.
• Model Operationalization & MLOps
• Containerize models, implement CI/CD, and manage versioning (MLflow, SageMaker, Kubeflow).
• Monitor model drift, bias, and business KPIs; trigger automated retraining and ensure SOC-2-compliant audit trails.
• Stakeholder-Focused Analytics
• Translate methodologies, analysis, and results for utility planners, operators, and regulators.
• Present technical findings to executives, regulatory commissions, and cross-functional product teams.
• Leadership & Thought Partnership
• Mentor junior data scientists; publish or present at IEEE/NARUC forums; guide research sprints exploring graph neural networks, physics-informed ML, and federated learning.

Skills

• 8+ years in advanced statistics/ML on large-scale time-series
• ≥3 years focused on utility load or DER forecasting
• Expert in Python (pandas, scikit-learn, XGBoost, PyTorch/TF)
• Expert in PySpark/SQL
• Expert in cloud analytics (Azure Databricks or equivalents)
• Proficiency with hierarchical time-series, quantile regression, ensemble trees, Prophet, LSTM/Transformer networks, and scenario analysis
• Familiarity with ISO/RTO market rules, IRP/DSIP filing requirements, DR/VPP measurement & verification, and grid operational constraints
• Hands-on with PII minimization, Role-Based Access Control, encryption, and compliance standards in regulated environments
• Proven ability to convert technical insights into clear business value and defend methods before both technical peers and non-technical stakeholders

Education Requirements

• BS/MS in Data Science, Statistics, Electrical Engineering, or related field
• PhD, PE license, or peer-reviewed energy analytics publications

Benefits

• Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium coverage for you
• Generous PTO and paid holidays
• MyShare Employee Ownership Program
• 401K, up to a 4% match (100% vested from day 1)
• Flexible Work including hybrid and remote possibilities based on position.

Company Overview

• Electric Power Engineers, Inc. (EPE) is a leading power engineering consulting firm. It was founded in 1968, and is headquartered in Austin, Texas, USA, with a workforce of 201-500 employees. Its website is https://www.epeconsulting.com.

• Company H1B Sponsorship

• Electric Power Engineers has a track record of offering H1B sponsorships, with 1 in 2025, 7 in 2024, 2 in 2023, 7 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.