Data Scientist, University Graduate,...

codingcircle; Bengaluru; On-site; INR 900,000 - 1,400,000; Full time

Job summary

A leading technology company in Bengaluru seeks a Data Scientist to leverage data-driven insights for decision-making. The ideal candidate holds a master’s degree in a quantitative discipline and has experience with statistical software and machine learning. Responsibilities include working with large datasets, conducting in-depth analysis, and making actionable recommendations. This role involves collaboration with multi-disciplinary teams to improve product quality and enhance user experiences, with opportunities to develop privacy-preserving advertising products.

Qualifications

• Master’s degree in Statistics, Biostatistics, Operations Research, or a similar quantitative discipline.
• Experience with statistical software and machine learning on large datasets.
• Ability to draw actionable conclusions from data.

Responsibilities

• Work with large data sets and solve complex analysis problems.
• Make business recommendations based on data analysis results.
• Research and develop methods to improve product quality.

Skills

Statistical software (R, Python, SAS)

Machine learning

Statistical analysis

Problem-solving methods

Data interpretation

Education

Master’s degree in a quantitative discipline

PhD in a relevant field (preferred)

Job description

Data Scientist, University Graduate, 2026

Google Bangalore Full-time Fresher Not disclosed Posted 2 weeks ago

• Master’s degree in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience.
• Experience with statistical software (e.g., R, Python, S-Plus, SAS, or similar).
• Internship or work experience with data. Experience in quantitative methodologies with statistics and causal inference method.

Preferred qualifications:

• PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience.
• Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
• Experience with machine learning on large datasets.
• Ability to draw conclusions from data and recommend actions.
• Ability to teach others and learn new techniques such as differential privacy.
• Ability to select the right statistical tools given a data analysis problem.

About the job

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google’s business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google’s practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

As a key member of the team, you work with engineers to analyze and interpret data, develop metrics to measure results and integrate new methodologies into existing systems.

As a Data Scientist, you will evaluate and improve Google’s products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems, using statistical methods for the issues of measuring quality, improving consumer products, and understanding the behavior of end-users, advertisers, and publishers.

Responsibilities

• Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced problem-solving methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Research and develop analysis, forecast, and optimize methods to improve the quality of Google’s user facing products such as ads quality, search quality, end-user behavioral modeling, and live experiments.
• Help suggest, support, and shape new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product and customer-facing teams.
• Find ways to combine large-scale experimentation, statistical-econometric, machine learning and social-science methods to answer business questions at scale.