

Stott and May
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on a 12-month remote contract, paying $95-125/hour. Requires 5+ years of experience, strong skills in Python, SQL, Azure Databricks, and Microsoft Fabric, with a focus on manufacturing data analysis and predictive modeling.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
1000
-
🗓️ - Date
July 21, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#ML (Machine Learning) #Python #Statistics #SQL (Structured Query Language) #Azure #Azure cloud #"ETL (Extract #Transform #Load)" #Data Science #Predictive Modeling #Data Engineering #Data Analysis #Azure Databricks #Cloud #Databricks #Deployment #Forecasting
Role description
Senior Data Scientist
Manufacturing | Azure, Databricks & Microsoft Fabric
Our manufacturing client is looking for a Senior Data Scientist to help build data-driven solutions that improve operations and support business decision-making. You'll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack.
Responsibilities
• Develop machine learning models and analytical solutions to solve business problems.
• Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
• Build predictive models for forecasting, optimization, and operational reporting.
• Work with business stakeholders to understand requirements and translate them into data science solutions.
• Collaborate with Data Engineers to prepare and transform data for modeling.
• Present findings and recommendations to technical and non-technical audiences.
• Support the deployment and ongoing improvement of machine learning models.
Required Skills
• 5+ years of experience as a Data Scientist.
• Strong Python and SQL skills.
• Experience building and deploying machine learning models.
• Hands-on experience with Azure Databricks.
• Experience with Microsoft Fabric or other Microsoft analytics tools.
• Experience working with Azure cloud services.
• Strong understanding of statistics, predictive modeling, and data analysis.
• Excellent communication and stakeholder management skills.
Fully Remote
12-month contract with possible extension
40hr/week
95-125/hourly W2 or LLC
(There are no C2C options for this role)
Senior Data Scientist
Manufacturing | Azure, Databricks & Microsoft Fabric
Our manufacturing client is looking for a Senior Data Scientist to help build data-driven solutions that improve operations and support business decision-making. You'll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack.
Responsibilities
• Develop machine learning models and analytical solutions to solve business problems.
• Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
• Build predictive models for forecasting, optimization, and operational reporting.
• Work with business stakeholders to understand requirements and translate them into data science solutions.
• Collaborate with Data Engineers to prepare and transform data for modeling.
• Present findings and recommendations to technical and non-technical audiences.
• Support the deployment and ongoing improvement of machine learning models.
Required Skills
• 5+ years of experience as a Data Scientist.
• Strong Python and SQL skills.
• Experience building and deploying machine learning models.
• Hands-on experience with Azure Databricks.
• Experience with Microsoft Fabric or other Microsoft analytics tools.
• Experience working with Azure cloud services.
• Strong understanding of statistics, predictive modeling, and data analysis.
• Excellent communication and stakeholder management skills.
Fully Remote
12-month contract with possible extension
40hr/week
95-125/hourly W2 or LLC
(There are no C2C options for this role)






