Senior Data Scientist

Essential Functions

• Design, develop, and deploy forecasting algorithms using industry best practices
• 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

Key Qualifications

• Experience:
• 4+ years 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
• Skills & Tools:
• Forecasting models and time series techniques (ARIMA, Prophet, exponential smoothing, etc.)
• ML model development and evaluation
• Python (must-have)
• PySpark (must-have)
• ML Ops tools and CI/CD workflows in Azure environment
• Education:
• Bachelor's or Master's degree in Computer Science, Software Engineering, Statistics, or a related discipline

What We Offer

• 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