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About the role
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
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