Data Scientist

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profile Job Location:

Lehi, UT - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Data Scientist

This client is a company that does home security and home AI smart thermostats so they need very similair inudstry experience to that.

Required Skills & Experience

Candidate should have background in energy forecasting thermal/comfort modeling or demand response optimization.

Deep understanding of energy markets DER and Virtual Power Plant (VPP) concepts

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.

Nice to Have Skills & Experience

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 Advanced degree (MS/PhD) in a quantitative field 7 years of industry experience with proven technical leadership on high-impact modeling initiatives

Job Description

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.

Data Scientist This client is a company that does home security and home AI smart thermostats so they need very similair inudstry experience to that. Required Skills & Experience Candidate should have background in energy forecasting thermal/comfort modeling or demand response optimization. De...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills