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- Tasks: Analyse data to solve complex problems and provide insights for product improvement.
- Company: Join Google, a leader in tech innovation with a global impact.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a difference for over a billion users while working with cutting-edge technology.
- Qualifications: Bachelor's or Master's degree in a quantitative field and strong analytical skills.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, 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).
- 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.
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.
Product Data Scientist, Google Play Developer Risk employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist, Google Play Developer Risk
✨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 maybe even a referral!
✨Tip Number 2
Prepare for those tricky interview questions! Brush up on your coding skills in Python, R, and SQL. We want to show off our analytical prowess and problem-solving abilities.
✨Tip Number 3
Showcase your data storytelling skills! Think of examples where you've turned complex data into actionable insights. We need to demonstrate how we can influence decisions with our findings.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Google team!
We think you need these skills to ace Product Data Scientist, Google Play Developer Risk
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with analytics and coding in your application. We want to see how you've used tools like Python, R, or SQL to tackle real-world problems. Don’t just list your skills; tell us how you’ve applied them!
Tell a Story with Data: When you describe your past projects, focus on the insights you derived from data and how they influenced decisions. We love candidates who can weave a narrative around their findings, so make it engaging and relevant!
Tailor Your Application: Take a moment to customise your application for the Product Data Scientist role. Use keywords from the job description and align your experiences with what we’re looking for. This shows us you’re genuinely interested and have done your homework!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your details!
How to prepare for a job interview at Google
✨Know Your Numbers
Make sure you brush up on your statistical analysis skills and coding languages like Python, R, and SQL. Be ready to discuss specific projects where you've used these tools to solve real business problems. This will show that you can not only crunch numbers but also apply them effectively.
✨Tell a Data Story
Prepare to weave narratives from your data analyses. Think about how you can translate complex findings into actionable insights. Practise explaining your past work in a way that highlights the impact of your recommendations on product or business outcomes.
✨Understand Google’s Ecosystem
Familiarise yourself with Google’s various platforms and devices. Knowing how your role as a Product Data Scientist fits into the bigger picture will help you articulate your value during the interview. Research recent developments in Google’s technology to demonstrate your enthusiasm and knowledge.
✨Collaborate and Influence
Be prepared to discuss how you've worked across teams in the past. Highlight examples where you've influenced decisions or aligned resources to achieve a common goal. This will showcase your ability to communicate effectively and work collaboratively, which is crucial for this role.
