

ALIS Software LLC
Senior Data Scientist with Retail Industry
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with retail industry experience in Boston, MA. It’s a long-term contract requiring 8+ years in data science, proficiency in Python or R, and expertise in forecasting and predictive analytics.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 3, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Boston, MA
-
🧠 - Skills detailed
#Pandas #Data Modeling #Big Data #Libraries #R #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Statistics #Mathematics #TensorFlow #Cloud #NumPy #Python #Azure #Computer Science #Forecasting #Data Science #PyTorch
Role description
Hi,
Good day!
If you are interested with the below job role then please reply with updated resume and Contact details
Role: Senior Data Scientist with retail industry
Location: Boston, MA, 02115
Type: Contract
Duration: Long Term
Roles & Responsibilities
• 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.
Hi,
Good day!
If you are interested with the below job role then please reply with updated resume and Contact details
Role: Senior Data Scientist with retail industry
Location: Boston, MA, 02115
Type: Contract
Duration: Long Term
Roles & Responsibilities
• 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.






