Overview
Remote
On Site
Full Time
Skills
Advanced Analytics
Innovation
Data Integration
Statistical Models
Artificial Intelligence
scikit-learn
Scalability
ADF
Microsoft Azure
Databricks
Python
Data Manipulation
Machine Learning (ML)
PyTorch
TensorFlow
Data Warehouse
Extract
Transform
Load
Big Data
Conflict Resolution
Problem Solving
IT Infrastructure
Analytics
Process Improvement
Communication
Collaboration
Managed Services
Data Analysis
Cloud Computing
Virtualization
Data Science
Business Intelligence
Optimization
Network
Storage
Workflow
ITIL
Job Details
Job Details
We are seeking a Data Scientist with strong expertise in Azure to join our growing team. This individual will design and implement data-driven solutions that leverage machine learning, advanced analytics, and cloud-based architectures to solve complex business challenges. The ideal candidate has hands-on experience building and deploying models in Azure and thrives in environments where innovation and efficiency intersect.
Key Responsibilities
Qualifications
Required:
Preferred:
Company Information: We are a leading managed services provider specializing in Data Analytics, IT Optimization, Cloud, and Virtualization. Our solutions span Data Science & Business Intelligence, Data Center Optimization, Network & Storage Consolidation, and Workflow Improvements (ITIL framework). By helping organizations optimize infrastructure, power, and physical space, we deliver smarter, more efficient, and cost-effective IT ecosystems.
We are seeking a Data Scientist with strong expertise in Azure to join our growing team. This individual will design and implement data-driven solutions that leverage machine learning, advanced analytics, and cloud-based architectures to solve complex business challenges. The ideal candidate has hands-on experience building and deploying models in Azure and thrives in environments where innovation and efficiency intersect.
Key Responsibilities
- Develop, deploy, and scale machine learning models and data pipelines on Azure.
- Leverage Azure Data Factory (ADF), Azure Synapse Analytics, and related services for data integration and analysis.
- Apply statistical modeling, machine learning, and AI frameworks (PyTorch, TensorFlow, Scikit-learn, etc.) to address real-world business problems.
- Collaborate with business stakeholders to translate requirements into actionable insights and data-driven solutions.
- Optimize data workflows to improve efficiency, accuracy, and scalability within client environments.
- Partner with infrastructure and cloud teams to ensure robust, secure, and cost-optimized deployments.
- Document, monitor, and improve models in production, ensuring long-term accuracy and performance.
Qualifications
Required:
- Proven experience as a Data Scientist with Azure cloud services (ADF, Synapse, Azure Machine Learning, Databricks preferred).
- Proficiency in Python for data manipulation, analysis, and model development.
- Hands-on experience with machine learning frameworks (PyTorch, TensorFlow, or similar).
- Strong understanding of data warehousing, ETL processes, and big data analytics.
- Excellent problem-solving skills and ability to translate business needs into technical solutions.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or related field.
Preferred:
- Experience in data center optimization, IT infrastructure analytics, or cloud/virtualization environments.
- Familiarity with ITIL practices and process improvement methodologies.
- Strong communication skills with the ability to work across technical and non-technical teams.
Company Information: We are a leading managed services provider specializing in Data Analytics, IT Optimization, Cloud, and Virtualization. Our solutions span Data Science & Business Intelligence, Data Center Optimization, Network & Storage Consolidation, and Workflow Improvements (ITIL framework). By helping organizations optimize infrastructure, power, and physical space, we deliver smarter, more efficient, and cost-effective IT ecosystems.
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