Senior Data Scientist
6+ years of experience as a Data Scientist
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 Time Series
Experience of ML Ops / DevOps
Exposure to ML models such as random forest, XGboost, LightGBM, and some other ensemble modeling algorithms
4 years experience on Azure Cloud Platforms (databricks, Azure ML studio, etc)
No Phd’s. 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 functions
Developer role, ML Model implementation, experimentation & related software engineering focused
Experience as a data scientist with preference in data analysis & forecasting algorithms
Qualifications
ML Ops / Dev Ops
CICD Pipeline configuration
ADF Pipelines on Databricks
ML-Flow
Python
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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