Data Scientist
TalentAmp LLC
5 days ago
Role details
Contract type
Permanent contract Employment type
Part-time (≤ 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
Tech stack
Azure
Data Architecture
ETL
Distributed Systems
Python
Machine Learning
Azure
SQL Databases
Spark
Build Management
Data Lake
Machine Learning Operations
Software Coding
Stream Processing
Data Pipelines
Databricks
Job description
This role is ideal for someone who's hands-on with Databricks and Azure, and experienced in taking ML models from development to production.
What You'll Do
- Design and build scalable data pipelines and machine learning workflows
- Develop and deploy ML models into production environments
- Work within Azure ecosystem (Data Factory, Azure ML, etc.)
- Optimize data performance, quality, and reliability
- Collaborate with cross-functional teams to translate business needs into technical solutions
- Contribute to data architecture and ML lifecycle improvements
Requirements
- Strong background in Data Science, Machine Learning, or related field
- Experience in both data science and engineering-focused environments
- Hands-on expertise with Databricks and Microsoft Azure
- Proven experience building data pipelines and ML workflows
- Strong coding skills (Python, SQL)
- Experience with model deployment and MLOps practices
- Solid understanding of ETL, data architecture, and distributed systems
Nice to Have
- Experience with Azure ML, Apache Spark, or Delta Lake
- Familiarity with CI/CD pipelines for ML
- Exposure to large-scale or real-time data processing
- Experience managing end-to-end ML lifecycle