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About the role
We are seeking a skilled Demand Forecasting & Time Series Analysis Engineer to develop, deploy, and optimize forecasting models that improve business planning. 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 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 Us 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.
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