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Job description
This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$65.00/hr - $75.00/hr
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About the Company
Insight Global is a leading staffing and services company that connects top talent with innovative organizations. Our mission is to empower people and businesses to achieve their goals through exceptional service and expertise.
About the Role
One of Insight Global's clients is looking for a Staff Data Scientist to join their team. This individual will design and deploy predictive models that enable intelligent home energy decisions.
Responsibilities
Design and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance.
Leverage data-driven insights to enhance the accuracy and reliability of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies.
Collaborate with data engineering to modernize legacy structures into robust, documented, and reusable data products that support machine learning and real-time analytics.
Partner with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences.
Translate complex model outputs into clear, actionable recommendations for both technical and non-technical stakeholders.
Qualifications
5-8 Years of experience
Proven expertise in predictive modeling, forecasting, and applied machine learning techniques (e.g., regression, gradient boosting, time-series analysis, causal inference).
Hands‑on experience working with large‑scale event and sensor data, ideally within energy, IoT, or device‑driven ecosystems.
Strong proficiency in Python (including Pandas, NumPy, scikit‑learn, PySpark)
Experience with distributed computing environments such as Spark, Databricks, or GCP.
Required Skills
Expertise in energy forecasting, thermal/comfort modeling, or Demand Response optimization
Deep understanding of energy markets, DER, and Virtual Power Plant (VPP) concepts
Experience applying LLM or generative AI in analytics and optimization
7+ years of industry experience with proven technical leadership on high‑impact modeling initiatives
Preferred Skills
Experience with advanced AI applications such as generative models and energy forecasting to push the boundaries of predictive analytics within the energy domain.
Pay range and compensation package
65-75/hr
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Other
Industry: Software Development
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Worksite address
lehi, UT, 84043, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.