About the job :

- 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 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 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