
Advanced Machine Learning Professional
12 hours ago
We are seeking an experienced Senior Data Scientist to join our team.
This is a challenging and rewarding role that will allow you to work on cutting-edge, high-impact ML projects using industry best practices.
- Design, develop, and deploy forecasting algorithms
- Work on time series modeling and other predictive modeling techniques
- Implement and experiment with ML models as part of a developer-focused data science team
- Develop scalable data pipelines and solutions using Python and PySpark
- Collaborate across engineering and analytics teams to deliver production-ready ML solutions
The ideal candidate will have a strong background in machine learning and data science, with experience working with large datasets and developing predictive models.
Key Responsibilities- Develop and maintain machine learning models for forecasting and prediction
- Collaborate with cross-functional teams to integrate ML solutions into production environments
- Design and implement data pipelines and workflows using Python and PySpark
- Perform data analysis and visualization to inform business decisions
- 4+ years of experience in a developer role focused on ML model implementation, experimentation, and related software engineering
- 3–4 years of hands-on experience in Python and PySpark development
- 3–4 years as a Data Scientist with strong focus on forecasting algorithms
- 1–2 years of general software development experience
- Experience with Azure services, including:
- Azure Data Factory (ADF)
- Azure Pipelines
- Azure DevOps
- Bachelor's or Master's degree in Computer Science, Software Engineering, Statistics, or a related discipline
- Strong understanding of machine learning concepts and algorithms
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Opportunity to work on cutting-edge, high-impact ML projects
- Collaborative and motivated team environment
- Competitive salary and performance incentives
- Flexible working schedule
- Comprehensive benefits package:
- Medical insurance
- Sports or wellness benefits
- Participation in corporate social events
- Professional development support and career growth opportunities
- A modern, well-equipped office space
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