Data Scientist, Research, App Safety Engineering

2 weeks ago


Bangalore Karnataka, India Jobted IN C2 Full time

Minimum qualifications Master s degree in Statistics Data Science Mathematics Physics Economics Operations Research Engineering or a related quantitative field 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 articulating and translating business questions and using statistical techniques to arrive at an answer using available data 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 The team s mission is to protect Android users from abusive apps including malware content abuse impersonation and behavioral abuse As a Data Scientist on the App Safety Engineering ASE team you will work with multiple stakeholders across product engineering and operation teams to conduct data research build methodologies into production systems to drive ASE key decisions and development You will be responsible for translating data into recommendations and implementing process improvements Responsibilities Work with datasets solve non-routine analysis problems and apply quantitative methods as needed Conduct analysis that includes data gathering and requirements specification processing analysis model development and evaluation as well as written and verbal delivery of results to business partners Collaborate with stakeholders in Product Management Engineering and Operation teams to define questions objectives and metrics identify and implement quantitative methods to answer those questions Develop own and evolve methodologies and frameworks providing a source of truth measures for the organization Establish comprehensive understanding of the production systems advocate for changes where needed for product development and build data driven solutions to faciliate the efficacy improvement Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status We also consider qualified applicants regardless of criminal histories consistent with legal requirements See also and If you have a disability or special need that requires accommodation please let us know by completing our



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