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Urgent! Senior Data Scientist, Product, Workspace Monetization Job Opening In New York – Now Hiring Google
Senior Data Scientist, Product, Workspace Monetization
_corporate_fare_ Google _place_ Sunnyvale, CA, USA; Kirkland, WA, USA; +2 more; +1 more
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA** .
**Minimum qualifications:**
+ Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
+ 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.
**Preferred qualifications:**
+ Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
+ 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
**About the job**
Workspace is a cloud-based productivity suite that is revolutionizing the way people communicate and collaborate with one another.
It includes products like Gmail, Calendar, Meet, Docs, Sheets, Slides, Drive and many more.
It serves over 3 billion active users across the globe, it shapes people’s experience at home, school and work.
In this role, you will be responsible for delivering data-driven insights to help with product strategy and decision focused on growing the customer base and identifying opportunities to increasing business.
The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits.
Our salary ranges are determined by role, level, and location.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
**Responsibilities**
+ Define, own and evolve product success metrics.
Report, analyze and forecast trends of key product metrics and make recommendations to improve them.
+ Lead the design, analysis, and interpretation of product experiments.
+ Apply technical expertise with observational data analysis, modeling or causal inference to answer the most important product questions.
+ Partner with Product, Engineering, and cross-functional teams to influence, prioritize and support product strategy.
+ Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
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Great news! Google is currently hiring and seeking a Senior Data Scientist, Product, Workspace Monetization to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Google adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Scientist, Product, Workspace Monetization Jobs United States varies, but the pay scale is rated "Standard" in New York. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Data Scientist, Product, Workspace Monetization typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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