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Data Scientist

Location: Pittsburgh

Team: Technical Infrastructure

Apply now

This position is based in Pittsburgh, PA.

The area: Engineering and Operations

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, engineers 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.

The role: Data Scientist - Pittsburgh

As a Data Scientist, 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.

Responsibilities:

  • Research, develop, and apply methods for measuring and analyzing Google products.
  • Develop new algorithms and methods for optimizing product performance, revenue, and adoption.
  • Research new ways for modeling and predicting end-user behavior.
  • Lead investigations into multiple streams of product data.
  • Design experiments to answer targeted questions. Conduct exploratory data analysis in high dimensions.

Minimum qualifications:

  • BA/BS degree in Statistics or other quantitative disciplines such as Engineering, Applied Mathematics, etc. In lieu of degree, 4 years relevant work experience.
  • Experience with large data sets using statistical software (R, S-Plus, Matlab, or similar) and large databases (SQL).
  • Ability to draw conclusions from data and recommend actions.
  • Willingness to learn new techniques. Excellent written and verbal presentation skills.

Preferred qualifications:

  • MS or PhD in Statistics or other quantitative disciplines such as Engineering, Applied Mathematics, etc.
  • Broad work experience with large data sets.
  • Considerable practical experience in quantitative analysis.
  • Demonstrated leadership and self-direction.
  • Strong experimental design and analysis skills.
  • Specific positions can benefit from experience in one or more of: Operations Research, Online advertising, search, commerce, Machine Learning, Languages such as Python, JavaScript, Forecasting, Time-series modeling and Proficiency in foreign languages

The Big Picture

Pittsburgh office

Steel City? More like Tech City, these days. Google Pittsburgh's engineers and product managers have worked on Search, Ads, and Commerce products used by hundreds of millions of people, as well as core engineering infrastructure. And unlike some U.S. technology hubs, our city is both culturally rich and exceptionally livable.

Location: Pittsburgh

Technical Infrastructure

Make Google's services fast and reliable for billions of users.

Team: Technical Infrastructure

Data Scientist

Location: Pittsburgh

Team: Technical Infrastructure

Apply now

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

At Google, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer.