How does swipeandhired work?

You set your target roles, salary floor and locations once. swipeandhired scores matching postings against your profile, drafts tailored application materials with AI, and either lets you swipe to apply, one tap at a time, or runs fully on autopilot. Every application is tracked in your dashboard.

Which ATS platforms does swipeandhired support?

All of them. swipeandhired applies on every applicant tracking system (ATS) employers use, including Workday, SmartRecruiters, Greenhouse, iCIMS, Lever, Ashby, Taleo, SuccessFactors, Oracle Cloud and Jobvite, and on a company's own careers page when it uses none of them. You can also bring any posting yourself by link or pasted text.

Can I cancel my subscription?

Anytime, in one click from the billing portal in Settings. Your plan stays active until the end of the current billing period. No retention calls, no dark patterns.

Is my data used for training AI models?

Our platform AI provider may use the content we send it, your profile and the job posting, to improve its models. We never sell your data. If you bring your own AI provider key, requests go directly to your provider under their terms.

Staff Product Data Scientist at Google, Sunnyvale, CA

Staff Product Data Scientist at Google in Sunnyvale, CA. $192,000 to $278,000 a year. Apply with swipeandhired.

Lead the research and development of metric frameworks and methodologies to evaluate the effectiveness, user adoption, and efficiency of Generative AI and agentic tooling within Workspace products.

Partner with product engineering and central data infrastructure teams across the organization to clarify ambiguity, define roles, and manage multi-team telemetry and infrastructure projects from inception to execution.

Design and build scalable data models and analytical architecture that connect data across distinct product domains, ensuring cohesion.

Scope and manage initiatives to enable self-serve analytics by designing unified semantic layers, metric stores, executive dashboards, and AI-powered self-serve tooling.

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience with a Master's degree).

8 years of experience with core product analytics concepts, including user engagement metrics, funnel analysis, and A/B testing infrastructure.

8 years of experience in data modeling, designing semantic layers and metric stores that power organizational consumption.

Experience operating distributed data processing engines.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

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.

The Collab Data Science team shapes decision-making and provides actionable insights to guide product development for Drive, Docs, Sheets, Slides, Pics and Vids.

As a Data Scientist/Analytics Engineer, you will work closely with product and engineering teams to build products part of Workspace enjoyed by 3B+ users every month.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .
In most instances, this position requires in-person interviews as part of the hiring process.

The application window will be open until at least October 23, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Boulder, CO, USA; New York, NY, USA; Seattle, WA, USA .

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience with a Master's degree).

8 years of experience with core product analytics concepts, including user engagement metrics, funnel analysis, and A/B testing infrastructure.

8 years of experience in data modeling, designing semantic layers and metric stores that power organizational consumption.

Experience operating distributed data processing engines.