Data Scientist- Customer Retention
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist - Customer Retention, fully remote, with a contract length of unspecified duration. Pay rate is not disclosed. Requires 5 years of data analysis experience, a Master's degree, and proficiency in Python, PySpark, and statistical methods.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 19, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Databricks #ML (Machine Learning) #Spark (Apache Spark) #Matplotlib #Cloud #Python #NumPy #Statistics #Forecasting #Version Control #Data Science #NLP (Natural Language Processing) #Pandas #Data Analysis #PySpark
Role description
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
Working Conditions:
• Fully remote
Minimum Requirements:
• 5 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
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
Working Conditions:
• Fully remote
Minimum Requirements:
• 5 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
