VBeyond Corporation
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with 8+ years of experience in the retail industry, focusing on forecasting and predictive analytics. Requires proficiency in Python or R, time-series techniques, and cloud platforms. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 28, 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
Boston, MA
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🧠 - Skills detailed
#Libraries #Pandas #Forecasting #Data Science #GCP (Google Cloud Platform) #NumPy #PyTorch #Big Data #Azure #Data Modeling #TensorFlow #AWS (Amazon Web Services) #Mathematics #Cloud #Python #Statistics #Computer Science #R
Role description
• Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, or a related field.
• 8+ years of experience in data science, with a strong focus on forecasting and predictive analytics.
• Proven experience in the retail industry, including demand forecasting, merchandising, pricing, or supply chain use cases.
• Strong proficiency in Python or R and relevant libraries (pandas, NumPy, scikit-learn, statsmodels, TensorFlow/PyTorch).
• Hands-on experience with time-series forecasting techniques and evaluation methodologies.
• Solid understanding of data modeling, feature engineering, and model lifecycle management.
• Experience working with cloud platforms (Azure, AWS, or GCP) and big data technologies is a plus.
• Excellent communication and stakeholder management skills.
• Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, or a related field.
• 8+ years of experience in data science, with a strong focus on forecasting and predictive analytics.
• Proven experience in the retail industry, including demand forecasting, merchandising, pricing, or supply chain use cases.
• Strong proficiency in Python or R and relevant libraries (pandas, NumPy, scikit-learn, statsmodels, TensorFlow/PyTorch).
• Hands-on experience with time-series forecasting techniques and evaluation methodologies.
• Solid understanding of data modeling, feature engineering, and model lifecycle management.
• Experience working with cloud platforms (Azure, AWS, or GCP) and big data technologies is a plus.
• Excellent communication and stakeholder management skills.
