At a Glance
- Tasks: Analyze data to solve real-world business problems and drive impactful decisions.
- Company: Join a leading tech company that values innovation and creativity.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that shapes the future of advertising with data-driven insights.
- Qualifications: Master's degree in a quantitative field and 3 years of relevant analytics experience required.
- Other info: Familiarity with Python, R, SQL, and database querying is essential.
The predicted salary is between 43200 - 84000 £ per year.
Minimum qualifications: Master’s degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 3 years of experience using analytics to solve product or business problems, coding ( , Python, R, SQL), querying databases or statis…
Data Scientist, gTech Ads employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, gTech Ads
✨Tip Number 1
Make sure to showcase your experience with analytics and problem-solving in your conversations. Be ready to discuss specific projects where you've used data to drive decisions or improve outcomes.
✨Tip Number 2
Brush up on your coding skills, especially in Python, R, and SQL. You might be asked to solve a coding challenge or discuss your approach to data manipulation during the interview.
✨Tip Number 3
Familiarize yourself with the latest trends in gTech Ads and how data science is applied in that field. This will help you demonstrate your passion and knowledge during discussions.
✨Tip Number 4
Network with current or former employees in similar roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach.
We think you need these skills to ace Data Scientist, gTech Ads
Some tips for your application 🫡
Highlight Your Qualifications: Make sure to clearly outline your Master's degree and any relevant quantitative disciplines in your CV. Emphasize your experience in analytics and how it has helped solve product or business problems.
Showcase Technical Skills: Detail your coding skills in Python, R, and SQL. Provide specific examples of projects where you utilized these languages to analyze data or develop solutions.
Quantify Your Experience: Whenever possible, use numbers to quantify your achievements. For instance, mention the percentage increase in efficiency or revenue that resulted from your analytical work.
Tailor Your Application: Customize your cover letter to reflect your understanding of gTech Ads and how your background aligns with their goals. Mention specific projects or experiences that relate directly to the role.
How to prepare for a job interview at Google
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples where you've used analytics to solve complex product or business problems. Highlight your thought process and the impact of your solutions.
✨Demonstrate Coding Proficiency
Since coding is a key part of the role, be ready to showcase your skills in Python, R, or SQL. You might be asked to solve a coding problem during the interview, so practice common algorithms and data manipulation tasks.
✨Understand the Business Context
Research the company’s products and how they use data to drive decisions. Being able to connect your technical skills to their business objectives will show that you are not just a coder but also a strategic thinker.
✨Prepare for Behavioral Questions
Expect questions about teamwork, conflict resolution, and project management. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide clear, concise examples from your past experiences.