Jade Business Services (JBS)
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 5+ years of industry experience, focusing on predictive modeling and large-scale event data. Contract length is unspecified, with a pay rate of "unknown." Key skills include Python, GCP, and experience in energy forecasting.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Lehi, UT
-
🧠 - Skills detailed
#Databricks #A/B Testing #NumPy #Pandas #Spark (Apache Spark) #PySpark #GCP (Google Cloud Platform) #Python #Computer Science #AI (Artificial Intelligence) #ML (Machine Learning) #Forecasting #Leadership #Predictive Modeling #Statistics #Data Science #IoT (Internet of Things)
Role description
Required Qualifications
• Proven expertise in predictive modeling, forecasting, and applied machine learning.
• Strong experience with large-scale event or sensor data (IoT, energy, device-driven, or similar ecosystems).
• Advanced proficiency in Python (Pandas, NumPy, scikit-learn, PySpark).
• Experience working in distributed compute environments (e.g., Spark, Databricks, GCP).
• Demonstrated ability to take ML models from concept to production in collaboration with engineering teams.
• Strong foundation in statistics, feature engineering, and experimental design (A/B testing).
• Excellent communication skills with the ability to explain complex data-driven concepts clearly.
Preferred Qualifications
• Experience with energy forecasting, thermal modeling, or Demand Response optimization.
• Familiarity with energy markets, Distributed Energy Resources (DER), and Virtual Power Plants (VPPs).
• Exposure to LLMs or generative AI applications for analytics, forecasting, or optimization.
• Advanced degree (MS or PhD) in Statistics, Computer Science, Engineering, or a related quantitative field.
• 5+ years of industry experience, including technical leadership on high-impact modeling initiatives.
Required Qualifications
• Proven expertise in predictive modeling, forecasting, and applied machine learning.
• Strong experience with large-scale event or sensor data (IoT, energy, device-driven, or similar ecosystems).
• Advanced proficiency in Python (Pandas, NumPy, scikit-learn, PySpark).
• Experience working in distributed compute environments (e.g., Spark, Databricks, GCP).
• Demonstrated ability to take ML models from concept to production in collaboration with engineering teams.
• Strong foundation in statistics, feature engineering, and experimental design (A/B testing).
• Excellent communication skills with the ability to explain complex data-driven concepts clearly.
Preferred Qualifications
• Experience with energy forecasting, thermal modeling, or Demand Response optimization.
• Familiarity with energy markets, Distributed Energy Resources (DER), and Virtual Power Plants (VPPs).
• Exposure to LLMs or generative AI applications for analytics, forecasting, or optimization.
• Advanced degree (MS or PhD) in Statistics, Computer Science, Engineering, or a related quantitative field.
• 5+ years of industry experience, including technical leadership on high-impact modeling initiatives.
