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Senior Data Scientist Research, Googler Technology and Engineering

Google

Google

IT, Data Science
Hyderabad, Telangana, India
Posted on Sep 20, 2024

Senior Data Scientist Research, Googler Technology and Engineering

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GoogleHyderabad, Telangana, India
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Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications:

  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
  • Experience with Machine Learning (ML) product lifecycle from ideation to exploration, productionization, and long-term support.
  • Experience applying ML and advanced analytics solutions to the enterprise operations team.
  • Experience building production ML pipelines.

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.

In this role, you will help develop data leveraged solutions that optimize the operational efficiency of our internal stakeholder teams. You will drive awareness with our internal customers throughout the corporate engineering organization about how to effectively manage and use data for strategic advantage, model critical business operations and deploy AI/ML solutions. You will provide quantitative support to strategic partners to the business by delivering data-driven insights and solutions. You will be using data to help them make better business decisions and weave stories with meaningful insight from data.

Responsibilities

  • Lead research projects that explore novel applications of data science and machine learning within our business.
  • Design, implement, and evaluate sophisticated statistical and machine learning models, pushing the boundaries of performance and efficiency in an enterprise environment.
  • Work with Machine Learning (ML) Software Engineers to translate research findings into scalable and production ready solutions.
  • Refine models and algorithms through experimentation and optimization and understand trade-offs and design choices.
  • Stay up-to-date on the latest developments in data science and machine learning research internally and externally, identify and evaluate new techniques and technologies.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.