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.

Google hiring fresher Data Scientist with good knowledge of statistical software (e.g., R, Python, S-Plus, SAS, or similar),  having familiarity with machine learning on large datasets.

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Job Designation : Software Engineer  Data Scientist

Qualification : Bachelor’s or Master’s degree or PhD

Experience : Freshers / Experienced

Skill Set :

1. Proficient with statistical software (e.g., R, Python, S-Plus, SAS, or similar).
2. Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
3. Experience with machine learning on large datasets.
4. Ability to draw conclusions from data and recommend actions.
5. Ability to teach others and learn new techniques such as differential privacy.
6. Ability to select the right statistical tools given a data analysis problem.
7. Sound knowledge of data structures or algorithms.
8. Experience developing accessible technologies.
9. experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.
10. Excellent communication skills both written and verbal.

Job Description :

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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.

1. 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.
2. 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.
3. 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.
4. Help suggest, support and shape new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product and customer-facing teams.
5. Find ways to combine large-scale experimentation, statistical-econometric, machine learning and social-science methods to answer business questions at scale.

Location :  Bengaluru, Karnataka, India