Google is hiring for a FRESHER entry level Data Scientist (under University Graduate Program 2026) role in India

Position:

• Data Scientist, University Graduate Program 2026
• Entry level role designed for fresh graduates entering the data science domain
• Focused on solving real world business and product challenges using data
• Opportunity to work on large scale systems and impactful use cases across multiple domains
• Role involves strong collaboration with cross functional teams including engineering, product, and business units

Company:

• Google
• One of the world’s leading technology companies known for innovation and large scale data driven products
• Operates across multiple domains including search, advertising, cloud computing, artificial intelligence, and consumer applications
• Known for its strong engineering culture and emphasis on solving complex global problems
• Provides opportunities to work on products used by billions of users worldwide

Location:

• Bengaluru
• Major technology hub of India with access to global teams and innovation centers
• Offers exposure to a dynamic startup ecosystem as well as established global companies
• Location provides strong networking and career growth opportunities in analytics and data science

Job type:

• Full time role
• Permanent employment opportunity
• Structured onboarding and training support for fresh graduates
• Opportunity for long term career growth within the organization

Job mode:

• Onsite or hybrid depending on team requirements
• Collaboration with teams across different geographies
• Exposure to global projects and cross functional communication

Job requisition id:

• Not explicitly mentioned, assumed internal hiring reference applicable

Years of experience:

• 0 to 3 years
• Suitable for freshers and early career professionals
• Internship or project experience in data related work is beneficial

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Company description:

• Google is a global technology organization focused on building products and platforms that impact billions of users worldwide
• The company’s mission is centered around organizing the world’s information and making it universally accessible and useful
• It operates across diverse product lines including search engines, advertising platforms, mobile operating systems, cloud services, and artificial intelligence tools
• The organization encourages innovation and problem solving at scale, empowering employees to work on meaningful challenges that influence global users
• A strong emphasis is placed on data driven decision making, where insights derived from data shape both product and business strategies
• Employees are encouraged to bring creativity, analytical thinking, and diverse perspectives to their work
• The company fosters a collaborative environment where individuals from various backgrounds contribute to solving complex technical and business problems
• It is also known for its investment in research and development, especially in fields such as machine learning, data science, and distributed systems
• The work culture supports continuous learning, experimentation, and pushing boundaries to create impactful solutions
• The organization values inclusivity, innovation, and a strong sense of ownership among its workforce

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Profile overview:

• The Data Scientist role is designed for individuals who are passionate about working with data to solve complex problems
• The position involves analyzing large datasets to generate insights that directly influence product improvements and business decisions
• Candidates will work closely with engineers, product managers, and business stakeholders to translate data findings into actionable strategies
• The role goes beyond basic analysis and includes designing experiments, building models, and interpreting results in a business context
• Professionals in this role are expected to identify patterns, trends, and anomalies within data and use these insights to recommend improvements
• The position requires a strong understanding of statistical concepts, machine learning techniques, and data processing methods
• Individuals will also contribute to developing metrics and frameworks that help measure the success of products and features
• The role includes working on a variety of projects such as user behavior analysis, advertising effectiveness, and product optimization
• Data Scientists are expected to communicate their findings effectively to both technical and non technical audiences
• The position offers exposure to cutting edge tools and technologies used in large scale data analysis
• It is an ideal opportunity for fresh graduates to start their careers in a high impact and fast paced environment
• The role emphasizes both technical skills and business understanding, ensuring well rounded professional growth

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Qualifications:

• Candidates should hold a Master’s degree in a quantitative field such as Statistics, Economics, Physics, Applied Mathematics, or similar disciplines
• Equivalent practical experience in data related roles may also be considered
• Strong proficiency in programming languages such as Python or R is expected
• Familiarity with statistical software and tools used for data analysis is required
• Understanding of statistical concepts including regression, probability, and hypothesis testing is essential
• Exposure to data analysis through internships, academic projects, or prior work experience is preferred
• Knowledge of machine learning techniques and their application on large datasets is beneficial
• Ability to work with structured and unstructured data from multiple sources is important
• Candidates should be comfortable applying quantitative methods to solve real world problems
• Strong problem solving skills and analytical thinking are key requirements for this role
• Preferred candidates may have a PhD in relevant quantitative disciplines
• Experience with advanced statistical modeling techniques such as multivariate analysis or stochastic processes is advantageous
• Ability to interpret results and derive meaningful insights from data is critical
• Communication skills are important for presenting findings and influencing decision making
• Willingness to learn new tools, technologies, and methodologies is highly valued
• Exposure to concepts like causal inference and experimentation is a strong plus

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Additional info:

• The role involves working with extremely large and complex datasets that require advanced analytical approaches
• Data Scientists are expected to design and execute experiments to evaluate product performance and user behavior
• The position includes collaboration with multiple teams including engineering, product, marketing, and sales
• Candidates will contribute to building data driven solutions that enhance product quality and user experience
• Responsibilities include developing forecasting models, optimization techniques, and analytical frameworks
• The role also focuses on improving advertising systems and understanding consumer behavior patterns
• Individuals will work on projects related to search quality, ads performance, and user engagement
• Strong emphasis is placed on data visualization and effective communication of insights
• Candidates are encouraged to explore innovative approaches to solve business challenges using data
• The role includes opportunities to work on privacy focused solutions and ethical data usage practices
• Continuous learning is supported through exposure to new tools and advanced analytical techniques
• The position provides a platform to work on impactful projects that influence global scale products
• Employees are expected to take ownership of their work and contribute to team success
• The role offers a balance between technical depth and business understanding
• It is an excellent opportunity for individuals looking to build a strong foundation in data science

Please click here to apply.