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For Companies At a Glance
- Tasks: Analyse data to solve complex problems and provide insights for product improvement.
- Company: Join Google, a leader in tech innovation and user experience.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on products used by over a billion people worldwide.
- Qualifications: Bachelor's or Master's degree in a quantitative field with relevant experience.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Product Data Scientist, Google Play, Developer
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Minimum qualifications
- Bachelor\’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work 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
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 Platforms and Devices team encompasses Google\’s various computing software platforms across environments (desktop, mobile, applications), as well as our first‑party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user\’s interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrow down multiple options into the best approach, and take ownership of open‑ended ambiguous business problems to reach an optimal solution.
- Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
- Report on Key Performance Indicators (KPIs) to support business reviews with the cross‑functional/organizational leadership team. Translate analysis results into business insights or product improvement opportunities.
- Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
- Influence across teams to align resources and direction.
EEO Statement
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 Google\’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Product Data Scientist, Google Play, Developer employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist, Google Play, Developer
✨Tip Number 1
Network like a pro! Reach out to current or former Google employees on LinkedIn. A friendly chat can give us insider info about the role and might even lead to a referral. Don't be shy!
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL, Python, and R skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with technical questions.
✨Tip Number 3
Showcase your data storytelling skills! When discussing past projects, focus on how you turned data into actionable insights. We want to see how you can weave a narrative that influences decision-making.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive features and tips available there to help you stand out in the process.
We think you need these skills to ace Product Data Scientist, Google Play, Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Product Data Scientist role. Highlight your experience with analytics, coding, and any relevant projects that showcase your skills in Python, R, or SQL. We want to see how you can solve product problems using data!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data and how you've used it to drive decisions in previous roles. Don't forget to mention your experience with cross-functional teams!
Showcase Your Analytical Skills: In your application, be sure to include specific examples of how you've performed statistical analysis and solved complex business problems. We love seeing how you've turned data into actionable insights that have made a difference.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you'll find all the details about the role and our company culture there!
How to prepare for a job interview at Google
✨Know Your Numbers
As a Product Data Scientist, you'll be expected to handle data like a pro. Brush up on your statistical analysis skills and be ready to discuss how you've used analytics to solve real-world problems. Prepare examples that showcase your experience with tools like SQL, R, or Python.
✨Tell a Story with Data
It's not just about crunching numbers; it's about weaving them into a narrative. Think of ways you've translated complex data into actionable insights. Practice explaining your findings in a way that’s engaging and easy to understand for non-technical stakeholders.
✨Understand Google’s Ecosystem
Familiarise yourself with Google’s products and services, especially those related to the Platforms and Devices team. Knowing how your role fits into the bigger picture will help you articulate your value during the interview. Research recent developments and be prepared to discuss how they impact user experience.
✨Prepare for Problem-Solving Questions
Expect to face open-ended questions that assess your problem-solving abilities. Think through some ambiguous business problems you've tackled in the past and be ready to walk the interviewer through your thought process. Highlight your ability to narrow down options and make data-driven decisions.