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For Companies At a Glance
- Tasks: Analyse data to solve business problems and collaborate with teams to implement solutions.
- Company: Join Google, a leader in tech innovation and data-driven decision-making.
- Benefits: Enjoy flexible working options, competitive pay, and access to cutting-edge technology.
- Why this job: Make an impact by optimising advertising strategies and enhancing user experiences.
- Qualifications: Master's degree or equivalent experience in a quantitative field; coding skills required.
- Other info: Part-time role with opportunities for research publication and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Data Scientist, Research AIM role at Google
Join to apply for the Data Scientist, Research AIM role at Google
- Master\’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Minimum qualifications:
- Master\’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Preferred qualifications:
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
About The Job
At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google\’s business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google\’s practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Responsibilities
- Collaborate with other data scientists on the team to externalize and publish the innovative ad measurement solutions being built at Google on key conferences and journals.
- Test the solutions on public datasets to demonstrate their effectiveness for general circumstances.
- Present the research works at external workshops and conferences.
- Share external research works about ad measurement with other data scientists on the team.
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 .
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Part-time
Job function
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Job function
Information Technology and Engineering
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Industries
Information Services and Technology, Information and Internet
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Data Scientist, Research AIM employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Research AIM
✨Tip Number 1
Network with current or former Google employees, especially those in data science roles. They can provide valuable insights into the company culture and the specific skills that are highly valued in the team.
✨Tip Number 2
Engage with relevant online communities and forums focused on data science and analytics. Participating in discussions can help you stay updated on industry trends and may even lead to referrals.
✨Tip Number 3
Attend conferences and workshops related to data science and analytics. Presenting your own research or findings can showcase your expertise and commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Familiarise yourself with Google's products and services, particularly in advertising. Understanding how data science impacts their business strategies will help you tailor your conversations during interviews.
We think you need these skills to ace Data Scientist, Research AIM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, coding (especially Python, R, SQL), and any statistical analysis you've conducted. Use keywords from the job description to ensure your application stands out.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about data science and how your background aligns with Google's mission. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work collaboratively.
Showcase Your Projects: Include links to any relevant projects or research you've completed, especially those that involve ad measurement or data analysis. This can be through a personal website, GitHub, or published papers, showcasing your practical experience.
Prepare for Technical Questions: Anticipate technical questions related to data analysis and coding during the interview process. Brush up on your knowledge of statistical methods and be ready to discuss how you've applied them in real-world scenarios.
How to prepare for a job interview at Google
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in coding languages like Python, R, and SQL during the interview. Be prepared to discuss specific projects where you've used these skills to solve real-world problems.
✨Demonstrate Analytical Thinking
Prepare to explain your thought process when tackling complex data sets. Interviewers will be interested in how you identify problems and develop solutions, so have examples ready that showcase your analytical prowess.
✨Collaborate and Communicate
Since the role involves working with various teams, emphasise your ability to collaborate effectively. Share experiences where you've successfully communicated your findings to non-technical stakeholders, as this is crucial for the position.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in data science and advertising technology. Being able to discuss current developments and how they might impact Google's strategies will demonstrate your passion and commitment to the field.