Online applications are invited for Data Scientist at Google, Bangalore. Check the eligibility criteria and other job details below!
About Google
Google is an American MTC focused on search engine technology, online ad, Cloud Computing, Computer Software, E-Commerce, AI, and customer electronics. Google has many unique traits to help you find exactly what you’re looking for.
Job Description
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 behaviour.
- 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.
Responsibilities
- Help suggest, support, and shape new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product, and customer-facing teams.
- Collaborate with teams to define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behaviour, brand building, targeting, and bidding, and develop and implement quantitative methods to answer those questions.
- Find ways to combine large-scale experimentation, statistical-econometric, machine learning, and social-science methods to answer business questions at scale.
- Use causal inference methods to design and suggest experiments and new ways to establish causality, assess attribution, and answer strategic questions using data.
- Work with large, complex data sets. Conduct end-to-end analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and written and verbal delivery of results to business partners and executives.
Minimum Qualifications
Master’s degree in Statistics or Economics, or a quantitative discipline, or equivalent practical experience.
Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages.
Preferred Qualifications
- PhD degree in a quantitative discipline
- 2 years of experience in working as a Data Scientist, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
- Experience with machine learning on large datasets
- Understand potential outcomes framework and have familiarity with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, and matching estimators). Knowledge of structural econometric methods.
How to Apply?
Interested candidates can directly apply through this link.
Location
Bangalore, Karnataka.
