Sunrise Systems, Inc.
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist focused on AI/ML, onsite in Houston, TX, for a contract length of "unknown." The pay rate is "unknown." Key skills include time-series modeling, Python, and ML techniques. Excellent communication skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Regression #AI (Artificial Intelligence) #Anomaly Detection #Forecasting #ML (Machine Learning) #Visualization #Data Science #NLP (Natural Language Processing) #Python #Linear Regression
Role description
Data Scientist – AI/ML Focus (Onsite in Houston, TX)
Location:
Houston, TX (Onsite Mon–Thu)
We are seeking a proactive Data Scientist with strong expertise in AI/ML and time-series modeling. This role offers the opportunity to work on cutting-edge projects involving predictive analytics, LLMs, NLP, and advanced AI solutions.
Key Responsibilities:
• Develop and optimize time-series models for forecasting and anomaly detection.
• Analyze structured and unstructured data, perform feature engineering, and build ML models.
• Collaborate with stakeholders to translate insights into actionable business strategies.
• Create clear, compelling visualizations and dashboards for non-technical audiences.
• Explore advanced AI areas like LLMs, multi-agent systems, and computer vision (helpful but not required).
Must have:
• Strong background in time-series modeling
• Proficiency in Python and ML techniques (linear regression, random forest, SVM)
• Excellent communication skills
Data Scientist – AI/ML Focus (Onsite in Houston, TX)
Location:
Houston, TX (Onsite Mon–Thu)
We are seeking a proactive Data Scientist with strong expertise in AI/ML and time-series modeling. This role offers the opportunity to work on cutting-edge projects involving predictive analytics, LLMs, NLP, and advanced AI solutions.
Key Responsibilities:
• Develop and optimize time-series models for forecasting and anomaly detection.
• Analyze structured and unstructured data, perform feature engineering, and build ML models.
• Collaborate with stakeholders to translate insights into actionable business strategies.
• Create clear, compelling visualizations and dashboards for non-technical audiences.
• Explore advanced AI areas like LLMs, multi-agent systems, and computer vision (helpful but not required).
Must have:
• Strong background in time-series modeling
• Proficiency in Python and ML techniques (linear regression, random forest, SVM)
• Excellent communication skills
