Aptino, Inc.
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Python, SQL, Azure Machine Learning, and experience in resource/capacity planning analytics, preferably in the utility industry.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Pandas #Azure #Libraries #SQL (Structured Query Language) #Python #Snowflake #Data Science #ML (Machine Learning) #Predictive Modeling #Anomaly Detection #Azure Machine Learning #GitHub #PyTorch #Forecasting #"ETL (Extract #Transform #Load)"
Role description
We're looking for a Senior Data Scientist to develop predictive analytics solutions that drive business and operational decision-making. In this role, you'll build forecasting, anomaly detection, and recommendation models, transform complex data into actionable insights, and collaborate with cross-functional teams to deliver measurable business outcomes.
Key Skills:
• Python (Pandas, Scikit-learn)
• SQL & Snowflake
• Time-series forecasting & predictive modeling
• Feature engineering & statistical analysis
• Azure Machine Learning
• GitHub
• Prophet (or similar forecasting libraries)
• PyTorch (preferred)
Preferred:
• Experience in resource/capacity planning analytics
• Utility or regulated industry experience
• Knowledge of survival analysis and duration modeling
We're looking for a Senior Data Scientist to develop predictive analytics solutions that drive business and operational decision-making. In this role, you'll build forecasting, anomaly detection, and recommendation models, transform complex data into actionable insights, and collaborate with cross-functional teams to deliver measurable business outcomes.
Key Skills:
• Python (Pandas, Scikit-learn)
• SQL & Snowflake
• Time-series forecasting & predictive modeling
• Feature engineering & statistical analysis
• Azure Machine Learning
• GitHub
• Prophet (or similar forecasting libraries)
• PyTorch (preferred)
Preferred:
• Experience in resource/capacity planning analytics
• Utility or regulated industry experience
• Knowledge of survival analysis and duration modeling
