Data Scientist
Data Scientist
Posted on :
29-07-2025
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1 Vacancy
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Job Description
Data Scientist
About the Role
Were not just looking for a model builderwere looking for a data scientist who can turn raw energy data into measurable impact. At Cenergistic youll 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.
Youll dive into a vast sea of energy building weather and behavioral data to discover patterns optimize consumption and build models that deliver insightnot 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 isnt an R&D sandbox. Your models will be in production and used to change behavior.
What Youll 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 firstbe 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 theyre 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 reasoningso 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 trendsnot just the what
What Were 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 dataor 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
Why This Role Matters
Our buildings consume billions of kWh therms and gallons. Your models and insights will drive behavior that saves money reduces emissions and improves comfort for the people in them. Youll be a key architect of the analytics strategy that enables us to scale AI across our platformand empower every Energy Specialist and Engineer to act faster and smarter.
Cenergistic is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race color religion sex (including pregnancy gender identity and sexual orientation) national origin age disability genetic information or veteran status.
About the Role
Were not just looking for a model builderwere looking for a data scientist who can turn raw energy data into measurable impact. At Cenergistic youll 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.
Youll dive into a vast sea of energy building weather and behavioral data to discover patterns optimize consumption and build models that deliver insightnot 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 isnt an R&D sandbox. Your models will be in production and used to change behavior.
What Youll 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 firstbe 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 theyre 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 reasoningso 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 trendsnot just the what
What Were 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 dataor 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
Why This Role Matters
Our buildings consume billions of kWh therms and gallons. Your models and insights will drive behavior that saves money reduces emissions and improves comfort for the people in them. Youll be a key architect of the analytics strategy that enables us to scale AI across our platformand empower every Energy Specialist and Engineer to act faster and smarter.
Cenergistic is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race color religion sex (including pregnancy gender identity and sexual orientation) national origin age disability genetic information or veteran status.
Employment Type
Full Time
Key Skills
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