Jade Business Services (JBS)
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include proficiency in Python, experience with statistical software, and knowledge of machine learning methods. A Master's degree is required, with a PhD preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 14, 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
Houston, TX
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🧠 - Skills detailed
#Spark (Apache Spark) #ML (Machine Learning) #Statistics #PySpark #Data Science #Pandas #Python #Matplotlib #NumPy #Forecasting #Data Analysis #Cloud #Version Control #NLP (Natural Language Processing)
Role description
Minimum Requirements:
• 0-3 years of experience in data analysis or related field
• Master’s degree in a quantitative discipline or equivalent practical experience
• Experience with statistical software and database languages
Preferred Qualifications:
• Experience using data science to improve customer experience and business profitability
• PhD in a quantitative discipline
• Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines
• Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing
• Proficiency with version control
• Experience with reading and writing data in the cloud
• Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking
Minimum Requirements:
• 0-3 years of experience in data analysis or related field
• Master’s degree in a quantitative discipline or equivalent practical experience
• Experience with statistical software and database languages
Preferred Qualifications:
• Experience using data science to improve customer experience and business profitability
• PhD in a quantitative discipline
• Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines
• Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing
• Proficiency with version control
• Experience with reading and writing data in the cloud
• Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking
