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 perks 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

📌 Senior Data Scientist (Bengaluru)
🏢 Grid Dynamics
📍 Bengaluru