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Data Scientist, University Graduate, 2025

Data Scientist, University Graduate, 2025

2 Weeks ago • Upto 1 Years • Data Analyst

About the job

Summary

Google seeks a Data Scientist to evaluate and improve its products. This role involves collaborating with engineers and analysts on diverse projects using statistical methods to measure quality, enhance consumer products, and understand user, advertiser, and publisher behavior. Responsibilities include working with large datasets, solving complex analytical problems, conducting data analysis (gathering, processing, analysis, presentations), making business recommendations with effective presentations, researching and developing analytical methods to improve product quality (ads, search, user behavior modeling, experiments), and suggesting new data-driven products. The ideal candidate will combine large-scale experimentation, statistical-econometric, machine learning, and social-science methods to answer business questions.

3 skills required for this role

Test your skills to join the top 1% applicants for this job

unity

python

forecasting-budgeting

Must have:

Master's degree in quantitative discipline
Experience with statistical software (R, Python etc.)
Experience with data and quantitative methodologies
Data analysis & problem-solving skills
Business recommendation & presentation skills

Good to have:

PhD in quantitative discipline
Experience with statistical data analysis (linear models etc.)
Machine learning experience on large datasets
Ability to teach and learn new techniques (differential privacy)
Ability to select appropriate statistical tools

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Minimum qualifications:

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.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.