- 8+ years into ML Model implementation, experimentation & related software engineering focused
- Experience as a data scientist with Demand forecasting algorithms
- Python, PySpark development experience a must
- 1-2 years of software development experience - preferred
- Exposure to ML models such as random forest, XGboost, LightGBM, and some other ensemble modeling algorithms
- Experience on Azure Cloud Platforms (Databricks, Azure ML studio, etc)
- Ability to learn fast and handle multiple priorities
Essential Functions
- Delivery of key Advanced Analytics/Data Science projects within time and budget,
- Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
- Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
Qualifications
Experience on Demand Forecasting Algorithms (Demand Forecasting)
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.
