Job Description
Job Summary
We are seeking a skilled Demand Forecasting & Time Series Analysis Engineer to develop, deploy, and optimize forecasting models that improve business planning.
Key Responsibilities
- Design, develop, and maintain demand forecasting models
- Develop automated forecasting pipelines for production deployment.
- Collaborate with business teams to understand forecasting requirements.
- Monitor forecast performance and continuously improve model accuracy.
- Build dashboards and reports to communicate forecasting insights.
Requirements
5–10 years of overall experience, who can independently drive modelling and implementation with minimal supervision.
Experience In Time Series Forecasting
- Demand Forecasting
- Python / Pyspark
- Machine Learning
- CICD
- Databricks
- ADF pipelines / Azure
Nice to Have
- MLOps
What We Offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About the Company
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
Keywords
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