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Y...aha y are client crazy abt me?


idibezwada

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4 minutes ago, idibezwada said:

Vendors n prime vendors vadhu antunna interview chesta antaru..how...asalu how ani.. cvvQ2J.gif

Lol...pakana thread ki satire ah baa

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1 hour ago, idibezwada said:

Vendors n prime vendors vadhu antunna interview chesta antaru..how...asalu how ani.. cvvQ2J.gif

ee technology bhayaa ???

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1 hour ago, idibezwada said:

Vendors n prime vendors vadhu antunna interview chesta antaru..how...asalu how ani.. cvvQ2J.gif

e position ki dubbing and support please :(

 

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As a Statistician/Quantitative Analyst, you will evaluate and improve Google's products, such as Ads and Search. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring analytical rigor and statistical methods to the challenges of measuring Search and Ads quality, improving consumer products, and understanding the behavior of end-users, advertisers, and publishers.

Please note that this position is the same as Data Scientist.

Responsibilities
  • Research and develop methods for measuring and analyzing ads quality.
  • Research new algorithms and methods for optimizing ads quality and business growth.
  • Research new ways for modeling end user behavior through quant analysis.
  • Lead investigations into multiple streams of ads quality data.
  • Design experiments to answer targeted questions.
Minimum qualifications
  • MS degree in Computer Science or Statistics.
  • 2 years of experience in data analysis or related field.
  • Experience with statistical software (R, S-Plus, SAS, or similar).
  • Experience with databases and scripting languages (such as Python).
Preferred qualifications
  • PhD in Computer Science or Statistics
  • 1 year of relevant work experience (i.e., data scientist role), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
  • Experience using technology to work efficiently with datasets such as scripting, Python, statistical software packages (R, S-Plus, SAS or similar) and Unix/Linux experience.
  • Experience with Survey Sampling.
  • Ability to draw conclusions from data and recommend actions.
  • Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.
Area

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to tackle some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

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2 minutes ago, ARYA said:

e position ki dubbing and support please :(

 

 
Know someone who would be interested?
Find connections
Sign in to see your connections at Google

As a Statistician/Quantitative Analyst, you will evaluate and improve Google's products, such as Ads and Search. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring analytical rigor and statistical methods to the challenges of measuring Search and Ads quality, improving consumer products, and understanding the behavior of end-users, advertisers, and publishers.

Please note that this position is the same as Data Scientist.

Responsibilities
  • Research and develop methods for measuring and analyzing ads quality.
  • Research new algorithms and methods for optimizing ads quality and business growth.
  • Research new ways for modeling end user behavior through quant analysis.
  • Lead investigations into multiple streams of ads quality data.
  • Design experiments to answer targeted questions.
Minimum qualifications
  • MS degree in Computer Science or Statistics.
  • 2 years of experience in data analysis or related field.
  • Experience with statistical software (R, S-Plus, SAS, or similar).
  • Experience with databases and scripting languages (such as Python).
Preferred qualifications
  • PhD in Computer Science or Statistics
  • 1 year of relevant work experience (i.e., data scientist role), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
  • Experience using technology to work efficiently with datasets such as scripting, Python, statistical software packages (R, S-Plus, SAS or similar) and Unix/Linux experience.
  • Experience with Survey Sampling.
  • Ability to draw conclusions from data and recommend actions.
  • Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.
Area

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to tackle some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

pm me

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