

Visionary Consulting Partners, LLC
Senior Data Scientist / Machine Learning Engineer (Contingent Upon Award)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist / Machine Learning Engineer with a contract length of over 6 months, offering a remote work location and requiring 5–10+ years in data science, Azure deployment experience, and strong Python/R skills.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
March 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#R #Azure #Data Science #ML (Machine Learning) #Python #Databricks #Model Validation #Deployment #Model Deployment
Role description
Overview
We are seeking a Senior Data Scientist / ML Engineer to design and deploy predictive models and reproducible ML workflows in a secure Azure-based data environment.
Key Responsibilities
Develop and tune predictive models for operational optimization
Perform feature engineering and algorithm selection
Design and implement ML training and deployment pipelines
Conduct model validation and performance evaluation
Ensure reproducibility and alignment with FAIR data practices
Required Qualifications
5–10+ years in data science or machine learning
Experience deploying ML solutions in Azure and/or Databricks
Strong Python/R and modern ML frameworks
Experience with MLOps and production model deployment
Preferred
Experience in federal or large enterprise data environments
Azure ML, Databricks, or related certifications
Job Types: Full-time, Contract
Work Location: Remote
Overview
We are seeking a Senior Data Scientist / ML Engineer to design and deploy predictive models and reproducible ML workflows in a secure Azure-based data environment.
Key Responsibilities
Develop and tune predictive models for operational optimization
Perform feature engineering and algorithm selection
Design and implement ML training and deployment pipelines
Conduct model validation and performance evaluation
Ensure reproducibility and alignment with FAIR data practices
Required Qualifications
5–10+ years in data science or machine learning
Experience deploying ML solutions in Azure and/or Databricks
Strong Python/R and modern ML frameworks
Experience with MLOps and production model deployment
Preferred
Experience in federal or large enterprise data environments
Azure ML, Databricks, or related certifications
Job Types: Full-time, Contract
Work Location: Remote






