Calance
Lead Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Lead Data Scientist position for a 1-month remote contract, seeking candidates with 10+ years of experience in data science, strong skills in Python and machine learning, and expertise in anomaly detection within aerospace or regulated industries.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 24, 2026
🕒 - Duration
1 to 3 months
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🏝️ - Location
Remote
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Science #MQTT (Message Queuing Telemetry Transport) #IoT (Internet of Things) #Statistics #Python #Anomaly Detection #ML (Machine Learning) #Data Quality
Role description
Lead Data Scientist
Location: 100% Remote (Denver, CO preferred)
Duration: 1 month Contract
Hours: MST (8:00 AM–5:00 PM)
Job Summary:
Seeking a hands-on Lead Data Scientist to lead a predictive maintenance proof of concept for a Fortune 100 aerospace and defense client. The role involves building anomaly detection models using freezer temperature and equipment telemetry data, assessing data quality, defining model success criteria, and presenting technical findings to client stakeholders.
Required Skills:
• 10+ years of Data Science experience
• Strong Python, machine learning, statistics, and time-series analysis
• Experience with anomaly detection or predictive maintenance models
• Experience working with sensor/telemetry or IoT data
• MS or PhD in a quantitative field
• Excellent client-facing communication skills
• US Person required (ITAR)
Preferred:
• Industrial/OT data (OPC, MQTT, Historians)
• Aerospace, manufacturing, or other regulated industry experience
Lead Data Scientist
Location: 100% Remote (Denver, CO preferred)
Duration: 1 month Contract
Hours: MST (8:00 AM–5:00 PM)
Job Summary:
Seeking a hands-on Lead Data Scientist to lead a predictive maintenance proof of concept for a Fortune 100 aerospace and defense client. The role involves building anomaly detection models using freezer temperature and equipment telemetry data, assessing data quality, defining model success criteria, and presenting technical findings to client stakeholders.
Required Skills:
• 10+ years of Data Science experience
• Strong Python, machine learning, statistics, and time-series analysis
• Experience with anomaly detection or predictive maintenance models
• Experience working with sensor/telemetry or IoT data
• MS or PhD in a quantitative field
• Excellent client-facing communication skills
• US Person required (ITAR)
Preferred:
• Industrial/OT data (OPC, MQTT, Historians)
• Aerospace, manufacturing, or other regulated industry experience
