Google Hiring Data Scientist Apply Now

Google Hiring Data Scientist Apply Now

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Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Google products need to handle information at massive scale, and extend well beyond web search. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.

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Table Contents
1 About Company
2 Responsibilities
3 Eligibilities
4 Selection Process
5 Experience
6 Skill
  • Company Name : Google
  • Eligibility Criteria: BTech /B.E
  • Qualification: Bachelor’s Degree in Engineering
  • Eligible Batches: 2023,2024,2025
  • Experience: Experience
  • Salary Range: up to 18 LPA
  •  Job Location :Bangalore/ Hyderabad
  • Position: Data Scientist

About Company

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.

Responsibilities

  • Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied Data Science team, employing methods which create opportunities for scale.
  • Guide data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management.
  • Collaborate with customers to resolve their problems and identify the statistical techniques that can solve the problem, and own the development of modeling framework.
  • Engage with stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a solution.
  • Work with customer and internal teams to translate data and model results into insights for selection making, and work with clients to integrate recommendations into business processes.

Skill

  • Experience with monitoring tools (Prometheus, Grafana, or custom solutions for ML metrics).
  • Familiarity with cloud platforms (Sagemaker, AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Hands-on experience with MLOps practices and tools for deployment, monitoring, and drift detection.
  • Exposure to distributed training and model parallelism techniques.
  • Prior experience in AB testing ML models in production.
Qualifications
  • Bachelor’s degree in Statistics, Engineering, Science, or equivalent practical experience.

Experience

  • 3 Year Experience using Analytics to Solve Product

[Google Hiring Data Scientist Apply Now ]

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