Developer role, ML Model implementation, experimentation & related software engineering focused
Experience as a data scientist with preference in data analysis & forecasting algorithms
Python, PySpark development experience a must
3-4 years of very good Python, PySpark development experience
1-2 years of software development experience - preferred
1-2 years of experience as a data scientist with preference in forecasting algorithms
Basic understanding for MLOPS
Exposure to ML models such as random forest, XGboost, LightGBM, and some other ensemble modeling algorithms
Basic understanding for Azure Cloud Platforms (databricks, Azure ML studio, etc)
No Phds. BS or MS degree is Software Engineering, Computer Science or Statistics related
Ability to learn fast and handle multiple priorities
Developer role, ML Model implementation, experimentation & related software engineering focused
Essential Experience on Demand forecasting Good programming in Python
Good understanding of ML concepts and algorithms in general. Especially, forecasting methods & math. No MLOps needed.
Understanding of ensemble models : XGBoost, CatBoost and LGBM
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.
(ref : iimjobs.com)
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Data Scientist • Bangalore, India
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