Dash Job - Data Scientist - Cenergistic

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:mega: Plotly Dash Skills: Experience with tools like Plotly Dash for interactive insight delivery.

Company: Cenergistic

Title: Data Scientist

Category: Full time

Location: Dallas, TX

Experience: Junior to mid-level

Application: Link to apply

@OpenToWork

Full Job Description

Data Scientist

About the Role

We’re not just looking for a model builder—we’re looking for a data scientist who can turn raw energy data into measurable impact. At Cenergistic, you’ll be at the forefront of a mission-driven effort to reduce utility waste across thousands of buildings in K-12 schools, universities, hospitals, and municipalities.

You’ll dive into a vast sea of energy, building, weather, and behavioral data to discover patterns, optimize consumption, and build models that deliver insight—not just dashboards. This is a chance to craft our next generation of in-house models, work side-by-side with LLMs like ChatGPT and Claude to automate analysis and embed intelligence directly into our product workflows.

This isn’t an R&D sandbox. Your models will be in production and used to change behavior.

What You’ll Do:

Own the Model Lifecycle

  • Build, validate, and deploy models for cost anomaly detection, savings prediction, baseline normalization, and building performance classification

  • Develop methods to provide “apples-to-apples” comparisons of energy use, even across buildings with different meters, systems, and conditions

  • Engineer proprietary scoring models to identify which buildings and campuses need attention first—be the brain behind our prioritization engine

Turn Data into Insight (Fast)

  • Explore and analyze structured and unstructured datasets across weather, occupancy, IoT, utility bills, and interval data

  • Work closely with domain experts to understand how building systems behave and convert that knowledge into real-time or scheduled analytics

  • Build simulations and “what-if” models that allow our users to test strategies before they’re deployed

Power Our Work with LLMs

  • Engineer tools and workflows that feed context-rich summaries to LLMs (like Claude and ChatGPT) to assist energy specialists, engineers, and clients

  • Help create a feedback loop between structured models and generative reasoning—so both get smarter over time

Operationalize Your Intelligence

  • Work side-by-side with our Data Engineers and Software Developers to embed insights directly into Measure, GreenX, and the Optimize Platform

  • Automate reports, alerts, and visualizations that surface the “why” behind energy trends—not just the “what”

What We’re Looking For

  • 3+ years’ experience building and deploying models in a production environment

  • Deep fluency in Python, including key libraries like pandas, scikit-learn, statsmodels, and prophet

  • Strong understanding of statistical modeling, time series analysis, forecasting, and causal inference

  • Solid SQL skills and experience working with large-scale relational datasets

  • Experience working with energy or sensor data—or strong curiosity to learn quickly

  • Proven ability to communicate insights clearly to both technical and non-technical audiences

Desired Experience

  • Familiarity with LLMs and experience engineering prompts or retrieval systems for domain-specific analysis

  • Experience integrating with building automation systems (BAS), IoT sensor streams, or SCADA-like infrastructure

  • Knowledge of energy markets, M&V protocols (e.g. IPMVP), and utility billing structures

  • Experience with tools like Power BI, Tableau, or plotly/dash for interactive insight delivery

  • Exposure to cloud-based AI/ML workflows using AWS, Azure, or GCP