Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Use data to drive product decisions and improve user experiences for over a billion people.
- Company: Join Google, a leader in tech innovation and global impact.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make a real difference by shaping the future of shopping with data insights.
- Qualifications: 8 years of analytics experience or 5 years with a Master's degree in a quantitative field.
- Other info: Work autonomously in a dynamic environment with endless learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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. Experience building commerce/shopping related products.
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.
Responsibilities:
- Act as a consultant and thought partner to Engineering and Program Management leads, providing data-driven perspectives on product direction and opportunities.
- Define, track, and analyze key metrics and attribution mechanisms to guide product development.
- Conduct deep-dive analyses to identify the most significant opportunities for improving the Shopping Graph.
- Identify and advocate new investigative approaches.
- Design and implement analysis (evals, log analysis etc.) to measure the impact of Shopping Graph data on key shopping experiences (especially AI-powered experiences like AIM and Gemini).
- Communicate complex findings and recommendations clearly and effectively to technical and non-technical stakeholders, including executive leadership.
- Operate with a high degree of autonomy, managing projects end-to-end from conception to impact.
Senior Data Scientist, Product, Google Shopping in City of London employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Product, Google Shopping in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former Googlers on LinkedIn and ask for insights about the role. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Practice coding challenges in Python, R, or SQL, and be ready to discuss how you've used data to solve real-world problems.
✨Tip Number 3
Showcase your storytelling skills! When discussing your past projects, focus on how you turned data into actionable insights. Remember, it's all about making complex findings relatable to your audience.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the Google team!
We think you need these skills to ace Senior Data Scientist, Product, Google Shopping in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in analytics, coding skills, and any relevant projects that showcase your ability to solve product or business problems.
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 science and how your background aligns with our mission at Google Shopping. Don't forget to mention any experience with commerce-related products!
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include specific examples of how you've used Python, R, or SQL in your previous roles. If you've conducted deep-dive analyses or worked on AI-powered experiences, let us know!
Apply Through Our Website: To make sure your application gets into the right hands, apply directly through our website. It’s the best way for us to review your application and get you one step closer to joining our team!
How to prepare for a job interview at Google Inc.
✨Know Your Numbers
As a Senior Data Scientist, you'll need to demonstrate your analytical prowess. Brush up on key metrics and statistical methods relevant to product development. Be ready to discuss how you've used data to solve real-world problems in previous roles.
✨Tell a Compelling Story
Data isn't just about numbers; it's about the story they tell. Prepare to weave narratives around your findings. Think of examples where your insights led to significant decisions or changes in product direction, especially in commerce or shopping-related contexts.
✨Communicate Clearly
You'll be communicating with both technical and non-technical stakeholders. Practice explaining complex analyses in simple terms. Use examples from your past experiences to show how you’ve effectively communicated findings to diverse audiences.
✨Show Your Autonomy
Google values independence. Be prepared to discuss projects you've managed from start to finish. Highlight your ability to operate autonomously while still collaborating effectively with teams, showcasing your project management skills and strategic thinking.