Senior Data Scientist, Applied AI
at Alphabet
Posted 14 hours ago
No clicks
- Compensation
- $156,000 – $229,000 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Join Google as a Senior Data Scientist in Applied AI, focusing on building and deploying AI agents for enterprise customers. You will evaluate and improve Google's products, collaborate with engineers and product/UX teams, and rapidly prototype ideas in a startup-like environment. The role emphasizes solving ambiguous problems with statistical methods, owning data for a product area, and informing strategy and launches. Base salary in the US ranges from $156,000 to $229,000 plus bonus, equity, and benefits.
Senior Data Scientist, Applied AI
- linkCopy link
- emailEmail a friend
Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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.
About the job
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on 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 Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
Responsibilities
- Be the end-to-end data owner of a product area and closely collaborate with your respective engineering, product, and UX leads to build products that have product market fit and traction in the market.
- Be comfortable working with ambiguity and understand the broader business context and propose solutions that help propel the team forward and make effective data drive decisions.
- Be a proactive thought partner and strategic partner to your cross-functional partners.
- Work on creating, improving, and assessing eval data sets to improve AI agent quality.
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.
