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Data Scientist III, Product, Applied AI

Data Scientist III, Product, Applied AI

Google India Pvt LtdINDIA
30+ days ago
Job description

Data Scientist III, Product, Applied AI

Location : Krakw, Poland

Experience Level : Mid

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Minimum Qualifications

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (i.e., Python, R, SQL) or 2 years work experience with a Master's degree.
  • Experience with data analysis, statistical modeling, probabilistic modeling, and visualization.

Preferred Qualifications

  • Masters degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • About the Job

    Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding, and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

    Android is Googles open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a superpower for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family, and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps / services for everyone in the world.

    Responsibilities

  • Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
  • Report Key Performance Indicators (KPIs) to support business reviews with cross-functional / organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  • Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance.
  • Work closely with an Applied AI team solving complex business problems using Machine Learning and Large Language Model solutions.
  • Additional Information

    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.

    Locations : Krakw, Poland

    Experience Level : Mid - Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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