Google is recruiting for a Fresher Entry Level Data Scientist, University Graduate, 2024

Short Description:

This Data Scientist position at Google requires a Master's degree or PhD in quantitative disciplines such as Statistics, Economics, or Applied Mathematics, along with relevant internship or work experience in data analysis. Preferred qualifications include expertise in statistical data analysis and machine learning on large datasets. The role entails working with cross-functional teams to analyze complex datasets, make data-driven business recommendations, and develop innovative solutions for improving Google's products and services. Data Scientists are expected to continuously learn and apply new techniques, collaborate on research and development projects, and integrate various methodological approaches to address business challenges effectively. Overall, this position offers an exciting opportunity to contribute to data-driven decision-making and drive innovation within Google's dynamic environment.

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Position: Data Scientist
Company: Google
Location: Bangalore, Karnataka, India
Job type: Full time
Job mode: Hybrid

Introduction

In this job description, we delve into the role of a Data Scientist at Google, specifically targeted towards university graduates. The position requires a strong educational background in quantitative disciplines and practical experience with data analysis. As a Data Scientist at Google, you will work with large datasets, apply statistical methodologies, and collaborate with cross-functional teams to drive data-informed decision-making across various aspects of the organization.

Minimum Qualifications

To be eligible for this position, candidates must meet the following minimum qualifications:

• Educational Background:
  • Master's degree or PhD in one of the following fields:
    • Statistics
    • Biostatistics
    • Operations Research
    • Physics
    • Economics
    • Applied Mathematics
    • Similar quantitative discipline
  • Alternatively, equivalent practical experience
• Work Experience:
  • Relevant internship or work experience involving data analysis
  • Experience with quantitative methodologies, including statistics and causal inference methods
• Technical Skills:
  • Proficiency in statistical software such as R, Python, S-Plus, SAS, or similar tools

Preferred Qualifications

In addition to the minimum qualifications, candidates with the following preferred qualifications will be given preference:

• Statistical Data Analysis:
  • Experience with advanced statistical techniques, including linear models, multivariate analysis, stochastic models, and sampling methods
• Machine Learning:
  • Proficiency in applying machine learning algorithms to analyze large datasets
• Analytical Skills:
  • Ability to draw actionable insights from data and recommend appropriate strategies
• Continuous Learning:
  • Eagerness to learn new techniques, such as differential privacy, and ability to teach others
• Problem-Solving Skills:
  • Capability to select the most suitable statistical tools for a given data analysis problem

Job Overview

As a Data Scientist at Google, you will play a pivotal role in driving data-centric decision-making across the organization. By leveraging your expertise in statistical analysis and machine learning, you will contribute to various projects aimed at enhancing Google's products and services. Your responsibilities will involve working with cross-functional teams to analyze data, develop metrics for measuring performance, and integrate new methodologies into existing systems.

Key Responsibilities

Your responsibilities as a Data Scientist at Google will include, but not limited to:

• Data Analysis:
  • Working with large and complex datasets to solve non-routine analysis problems
  • Applying advanced problem-solving methods as required
• Business Recommendations:
  • Making data-driven business recommendations, such as cost-benefit analysis and forecasting
  • Presenting findings effectively to stakeholders through visual displays of quantitative information
• Research and Development:
  • Conducting research to develop and optimize methods for improving the quality of Google's products
  • Collaborating with multidisciplinary teams on projects related to ads quality, search quality, end-user behavioral modeling, and live experiments
• Innovation:
  • Contributing to the development of new data-driven and privacy-preserving advertising and marketing products
  • Collaborating with engineering, product, and customer-facing teams to shape innovative solutions
• Methodological Integration:
  • Exploring ways to integrate large-scale experimentation, statistical-econometric methods, machine learning, and social science approaches to address business challenges at scale

As a Data Scientist at Google, you will be at the forefront of leveraging data to drive innovation and inform strategic decisions. This role offers a unique opportunity to work on diverse projects, collaborate with talented professionals, and contribute to the development of cutting-edge solutions in the rapidly evolving field of digital advertising and marketing. If you are passionate about data analysis, have a strong quantitative background, and thrive in a dynamic environment, we encourage you to apply and be part of our team at Google.

Please click here to apply.

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