AptivaCorp

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Houston, TX, with a contract length of "Unknown" and a pay rate of "Unknown." Key skills include Python, machine learning frameworks, SQL, and experience in the Oil & Gas or Industrial IoT sectors.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
June 27, 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
#TensorFlow #Datasets #Azure #Model Validation #Telematics #Visualization #IoT (Internet of Things) #Libraries #SQL (Structured Query Language) #Data Science #ML (Machine Learning) #Microsoft Azure #PyTorch #Python #Forecasting
Role description
Role: Data Scientist Location: Houston TX (100% Onsite Need Only Locals or Nearby) Must Hav • eExperience leveraging telematics, IoT, equipment sensor, or operational data to uncover actionable business insights and performance trends • .Proven experience building predictive models and forecasting models in a production environment • .Strong experience applying machine learning techniques to solve real-world business challenges • .Advanced proficiency in Python for data science and machine learning applications • .Strong knowledge of machine learning frameworks and libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar • .Experience with statistical analysis, predictive analytics, time-series forecasting, and model validation techniques • .Strong SQL skills and experience designing or optimizing database structures that support analytical workloads • .Experience developing data visualizations and presenting findings to business stakeholders • .Ability to work independently with stakeholders to define use cases and deliver measurable business outcomes • .Experience in Oil & Gas, Energy, Natural Gas Compression, Industrial Equipment, Manufacturing, Asset Management, Fleet Operations, or Industrial IoT environments • .Experience working with telematics, SCADA, historian, equipment performance, maintenance, or operational technology (OT) datasets • .Experience deploying machine learning solutions within Microsoft Azure environments .