

Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 5-8 years of experience, specializing in retail and customer retention. The contract is remote, paying $65/hr W2. Key skills include Python, PySpark, and data modeling; a Master’s or PhD in a quantitative field is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date discovered
August 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Python #Data Science #ML (Machine Learning) #Pandas #Databricks #NLP (Natural Language Processing) #Statistics #Version Control #Spark (Apache Spark) #NumPy #Data Analysis #Matplotlib #PySpark #Forecasting #Cloud
Role description
Data Scientist
Location: Remote
Pay: 65/hr W2 only
Prefer Someone from Retail domain, with customer interaction and retention exp maybe in subscription Model.
Job Summary:
• Consumer’s data scientists use a combination of technical and business skills to help Client’s brands achieve their financial and strategic objectives. A Data Scientist learns the job while performing hands-on analytics and modeling.
Essential Duties/Responsibilities:
• Adhere to our culture of humility, curiosity, and impact
• Process data using Python, PySpark, and Databricks
• Develop models and dashboards
• Learn the job while performing hands-on analytics and modeling
• Help business partners make more profitable decisions based on customer and prospect insights
Minimum Requirements:
5-8 years of experience in data analysis or related field
Prefer Someone from Retail domain, with customer interaction and retention exp maybe in subscription Model.
Customer interaction for collecting data in Subscription model collecting there feedback and implementing them
Master’s degree in a quantitative discipline or equivalent practical experience
Experience with statistical software and database languages
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
heoretical 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
Data Scientist
Location: Remote
Pay: 65/hr W2 only
Prefer Someone from Retail domain, with customer interaction and retention exp maybe in subscription Model.
Job Summary:
• Consumer’s data scientists use a combination of technical and business skills to help Client’s brands achieve their financial and strategic objectives. A Data Scientist learns the job while performing hands-on analytics and modeling.
Essential Duties/Responsibilities:
• Adhere to our culture of humility, curiosity, and impact
• Process data using Python, PySpark, and Databricks
• Develop models and dashboards
• Learn the job while performing hands-on analytics and modeling
• Help business partners make more profitable decisions based on customer and prospect insights
Minimum Requirements:
5-8 years of experience in data analysis or related field
Prefer Someone from Retail domain, with customer interaction and retention exp maybe in subscription Model.
Customer interaction for collecting data in Subscription model collecting there feedback and implementing them
Master’s degree in a quantitative discipline or equivalent practical experience
Experience with statistical software and database languages
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
heoretical 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