<h2>Overview</h2>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 EPE’s 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 EPE’s software suite.<h2>Responsibilities</h2>How you can make an impact:<ul> <li>End-to-End Load &amp; DER Forecasting Ownership <ul> <li>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.</li> <li>Integrate hierarchical, probabilistic, and physics-aware ML approaches; reconcile forecasts across network layers while honoring grid constraints.</li> </ul></li> <li>DER Behavior &amp; Program Evaluation <ul> <li>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.</li> <li>Apply causal-impact methods (difference-in-difference, synthetic control) to measure demand-response and VPP performance.</li> </ul></li> <li>Scalable Data Engineering <ul> <li>Ingest and curate sub-hourly AMI, SCADA, weather, and DER telemetry into cloud feature stores (Azure/AWS/GCP; Databricks, Delta/Parquet).</li> <li>Automate data-quality checks, lineage, and schema evolution for millions of devices.</li> </ul></li> <li>Model Operationalization &amp; MLOps <ul> <li>Containerize models, implement CI/CD, and manage versioning (MLflow, SageMaker, Kubeflow).</li> <li>Monitor model drift, bias, and business KPIs; trigger automated retraining and ensure SOC-2-compliant audit trails.</li> </ul></li> <li>Stakeholder-Focused Analytics <ul> <li>Translate methodologies, analysis, and results for utility planners, operators, and regulators.</li> <li>Present technical findings to executives, regulatory commissions, and cross-functional product teams.</li> </ul></li> <li>Leadership &amp; Thought Partnership <ul> <li>Mentor junior data scientists; publish or present at IEEE/NARUC forums; guide research sprints exploring graph neural networks, physics-informed ML, and federated learning.</li> </ul></li></ul> <h2>Qualifications</h2>Bring your passion, here's what’s needed:<ul> <li>Experience Depth: 8+ years in advanced statistics/ML on large-scale time-series; ≥3 years focused on utility load or DER forecasting.</li> <li>Education: BS/MS in Data Science, Statistics, Electrical Engineering, or related field; PhD, PE license, or peer-reviewed energy analytics publications preferred.</li> <li>Technical Stack: Expert in Python (pandas, scikit-learn, XGBoost, PyTorch/TF), PySpark/SQL, and cloud analytics (Azure Databricks or equivalents).</li> <li>Forecasting &amp; Modeling Skills: Proficiency with hierarchical time-series, quantile regression, ensemble trees, Prophet, LSTM/Transformer networks, and scenario analysis.</li> <li>Utility Domain Knowledge: Familiarity with ISO/RTO market rules, IRP/DSIP filing requirements, DR/VPP measurement &amp; verification, and grid operational constraints.</li> <li>Data Governance &amp; Security: Hands-on with PII minimization, Role-Based Access Control, encryption, and compliance standards in regulated environments.</li> <li>Communication Excellence: Proven ability to convert technical insights into clear business value and defend methods before both technical peers and non-technical stakeholders.</li></ul> 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:<ul> <li>Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium coverage for you</li> <li>Generous PTO and paid holidays</li> <li>MyShare Employee Ownership Program</li> <li>Work with industry leaders</li> <li>401K, up to a 4% match (100% vested from day 1)</li> <li>Flexible Work including hybrid and remote possibilities based on position.</li></ul>  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 NotificationEPE does not accept unsolicited resumes from third-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 agency. EPE will not pay a fee to a third-party recruiter or agency without a previously signed third-party agreement and has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team. #LI-AR1

A leader in grid reliability and resiliency, Electric Power Engineers (EPE) has partnered with power and energy clients across the globe for over 50 years. EPE&rsquo;s client-centric approach delivers unmatched expertise throughout the project lifecycle, with a platform of comprehensive services and proprietary solutions spanning utility engineering, grid and resource integration, reliability and compliance, digitalization, and grid analytics, as well as innovative software partnership with its sister company ENER-I.AI, Inc. Committed to designing and developing the grid of the future, EPE&rsquo;s highly experienced team of detail-oriented consultants are passionate about helping clients address complex engineering and grid modeling challenges, bridge gaps, and gain visibility into the evolving complexities of the grid. Learn more about EPE at epeconsulting.com

Senior Data Scientist

<h2>Overview</h2>We are designing the grid of the future!&nbsp; 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 EPE’s 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 EPE’s software suite.<h2>Responsibilities</h2>How&nbsp;you can make an impact:<ul> <li>End-to-End Load &amp; DER Forecasting Ownership <ul> <li>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.</li> <li>Integrate hierarchical, probabilistic, and physics-aware ML approaches; reconcile forecasts across network layers while honoring grid constraints.</li> </ul></li> <li>DER Behavior &amp; Program Evaluation <ul> <li>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.</li> <li>Apply causal-impact methods (difference-in-difference, synthetic control) to measure demand-response and VPP performance.</li> </ul></li> <li>Scalable Data Engineering <ul> <li>Ingest and curate sub-hourly AMI, SCADA, weather, and DER telemetry into cloud feature stores (Azure/AWS/GCP; Databricks, Delta/Parquet).</li> <li>Automate data-quality checks, lineage, and schema evolution for millions of devices.</li> </ul></li> <li>Model Operationalization &amp; MLOps <ul> <li>Containerize models, implement CI/CD, and manage versioning (MLflow, SageMaker, Kubeflow).</li> <li>Monitor model drift, bias, and business KPIs; trigger automated retraining and ensure SOC-2-compliant audit trails.</li> </ul></li> <li>Stakeholder-Focused Analytics <ul> <li>Translate methodologies, analysis, and results for utility planners, operators, and regulators.</li> <li>Present technical findings to executives, regulatory commissions, and cross-functional product teams.</li> </ul></li> <li>Leadership &amp; Thought Partnership <ul> <li>Mentor junior data scientists; publish or present at IEEE/NARUC forums; guide research sprints exploring graph neural networks, physics-informed ML, and federated learning.</li> </ul></li></ul>&nbsp;<h2>Qualifications</h2>Bring your passion, here's what’s needed:<ul> <li>Experience Depth: 8+ years in advanced statistics/ML on large-scale time-series; ≥3 years focused on utility load or DER forecasting.</li> <li>Education: BS/MS in Data Science, Statistics, Electrical Engineering, or related field; PhD, PE license, or peer-reviewed energy analytics publications preferred.</li> <li>Technical Stack: Expert in Python (pandas, scikit-learn, XGBoost, PyTorch/TF), PySpark/SQL, and cloud analytics (Azure Databricks or equivalents).</li> <li>Forecasting &amp; Modeling Skills: Proficiency with hierarchical time-series, quantile regression, ensemble trees, Prophet, LSTM/Transformer networks, and scenario analysis.</li> <li>Utility Domain Knowledge: Familiarity with ISO/RTO market rules, IRP/DSIP filing requirements, DR/VPP measurement &amp; verification, and grid operational constraints.</li> <li>Data Governance &amp; Security: Hands-on with PII minimization, Role-Based Access Control, encryption, and compliance standards in regulated environments.</li> <li>Communication Excellence: Proven ability to convert technical insights into clear business value and defend methods before both technical peers and non-technical stakeholders.</li></ul>&nbsp;Lead the change!Be a part of an innovative team shaping the grid of the future through advanced energy intelligence.&nbsp; 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. &nbsp;&nbsp;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. &nbsp;&nbsp;How we support you:<ul> <li>Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium coverage for&nbsp;you</li> <li>Generous PTO and paid holidays</li> <li>MyShare Employee Ownership Program</li> <li>Work with industry leaders</li> <li>401K, up to a 4% match (100% vested from day 1)</li> <li>Flexible Work including hybrid and remote possibilities based on position.</li></ul>&nbsp;&nbsp;Location: This position is remote US.Travel:&nbsp; Occasional travel may be needed (10% or less)&nbsp;EPE is an equal opportunity/AA/Disability/Veteran employer. The EEO is the Law poster, and its supplement are available using the following links:&nbsp;EEOC is the Law Poster&nbsp;&nbsp;Third-Party Recruiting NotificationEPE does not accept unsolicited resumes from&nbsp;third-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 agency.&nbsp;EPE will not pay a fee to a third-party recruiter or agency&nbsp;without a previously signed third-party agreement&nbsp;and has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team.&nbsp;#LI-AR1

Senior Data Scientist

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