drjobs Senior Data Scientist

Senior Data Scientist

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1 Vacancy
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Job Location drjobs

Austin - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Overview

We are designing the grid of the future!

Participate actively in utilizing AI and machine learning applications for load forecasting distributed energy resources (DER) adoption and grid impact forecasting and power system data analysis involving the development and implementation of advanced modeling techniques. Focus on building short- and long-term load forecasting for electric and gas sales class-level load forecasting for rate making and regulatory functions DER forecasting (including solar PV battery electric storage systems electric vehicles building electrification demand response time-varying rates energy efficiency) and transmission and distribution operational analytics. Collaborate closely with EPEs Software Product Managers Data Engineering Team and Cloud Platform functions to provide crucial data science and technical support to help integrate and automate forecasting modeling and analytical processes within EPEs software suite.

Responsibilities

Howyou can make an impact:

  • 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.

Qualifications

Bring your passion heres whats needed:

  • Experience Depth: 8 years in advanced statistics/ML on large-scale time-series; 3 years focused on utility load or DER forecasting.
  • Education: BS/MS in Data Science Statistics Electrical Engineering or related field; PhD PE license or peer-reviewed energy analytics publications preferred.
  • Technical Stack: Expert in Python (pandas scikit-learn XGBoost PyTorch/TF) PySpark/SQL and cloud analytics (Azure Databricks or equivalents).
  • Forecasting & Modeling Skills: Proficiency with hierarchical time-series quantile regression ensemble trees Prophet LSTM/Transformer networks and scenario analysis.
  • Utility Domain Knowledge: Familiarity with ISO/RTO market rules IRP/DSIP filing requirements DR/VPP measurement & verification and grid operational constraints.
  • Data Governance & Security: Hands-on with PII minimization Role-Based Access Control encryption and compliance standards in regulated environments.
  • Communication Excellence: Proven ability to convert technical insights into clear business value and defend methods before both technical peers and non-technical stakeholders.

Lead the change!

Be a part of an innovative team shaping the grid of the future through advanced energy intelligence. For more than half a century Electric Power Engineers (EPE) has partnered with power and energy clients across the globe providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges. As leaders in the renewables space we are focused on building a modern secure and resilient grid. Join us in making an impact on the communities we serve and the environment in which we live. Together we can transform the future of energy.

How we support you:

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

Location: This position is remote US.

Travel: Occasional travel may be needed (10% or less)

EPE is an equal opportunity/AA/Disability/Veteran employer. The EEO is the Law poster and its supplement are available using the following links:EEOC is the Law Poster

Third-Party Recruiting Notification

EPE does not accept unsolicited resumes fromthird-party recruiters. Any unsolicited third-party resumes forwarded by recruiters to EPE via our career page or to any of our managers or employees will be considered public information may be treated as a direct application from the person identified in the resume and will not be eligible for placement fee payment to the will not pay a fee to a third-party recruiter or agencywithout a previously signed third-party agreementand has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team.

#LI-AR1


Required Experience:

Senior IC

Employment Type

Full-Time

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