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Senior Data Scientist

Bangalore, Hyderabad, India

Able to work on different Forecasting models

Development using Python

Essential functions

As a Data Scientist should work on Forecast Algorithms.

Qualifications

4+ years in a Developer role, ML Model implementation, experimentation & related software engineering focused

Experience as a data scientist with preference in forecasting algorithms

Python, PySpark development experience a must

3-4 years of very good Python, PySpark development experience

3-4 years of experience as a data scientist with preference in forecasting algorithms

1-2 years of software development experience

Experience on Azure (Azure Data Factory, Azure Piplines and Azure DevOps)

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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    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.

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