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For Companies At a Glance
- Tasks: Dive into data, solve complex business challenges, and drive impactful marketing strategies.
- Company: Join Google, a leader in innovation and technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting career advancement opportunities.
- Why this job: Make a real difference by using data to shape marketing decisions at a global scale.
- Qualifications: Master's degree in a quantitative field and experience in analytics and coding.
The predicted salary is between 55000 - 65000 ÂŁ 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 (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience managing end-to-end brand measurement frameworks, including brand lift studies, marketing mix modeling (MMM), or multi-touch attribution (MTA).
Preferred Qualifications
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experiences with experimental design and supervised/unsupervised machine learning approaches for both regression and classification tasks.
- Experience delivering meta analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
- Understanding of Bayesian approaches and modeling frameworks.
- Ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross‑functional stakeholders.
About the Job
Google's leadership team hand‑picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior‑level executives, roll‑up your sleeves to help drive implementation and check back‑in to see the impact of your recommendations. As a Business Data Scientist in the Marketing team, you will have a blend of marketing, statistics and data infrastructure experience. You will support your team by delivering pieces of project work including supporting the implementation of data science solutions, supporting the improvement of data pipelines, running geo‑experiments, marketing mix models (MMM), meta analysis or helping your team develop evaluation metrics that provide insights to the business. You will play a technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate initiatives. Using first‑party and third‑party data sources, you will create innovative solutions to demonstrate the effectiveness of Google’s media investment. At Google‑scale, this implies working on our industry’s toughest issues. Regardless of geographic location, you will maintain a global scope, working with teams operating across regions and marketing entities.
Responsibilities
- Provide support in media strategy, measurement and optimization that require expertise in advanced analytics work, with a focus on applying data science to marketing and analysis approaches.
- Partner with internal teams in advanced analytics work including experimentation, measurement and modeling.
- Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
- Deliver customer‑centric, data‑driven approach, based on a people‑based marketing strategy to build, segment, and test audiences for best business results.
- Develop evaluation frameworks for large‑scale models, new metrics, and investigate anomalies.
- Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
Equal Employment Opportunity
Google is proud to be an equal‑opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.
Business and Marketing Data Scientist II employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business and Marketing Data Scientist II
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or SQL. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating the interview environment with a friend to boost your confidence.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Business and Marketing Data Scientist II
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills in Python, R, or SQL. We want to see how you've used these tools to tackle real business problems, so don’t hold back on the details!
Tailor Your Experience: When you’re writing your application, connect your past experiences directly to the responsibilities listed in the job description. We love seeing how your background aligns with what we do at StudySmarter.
Be Data-Driven: Since this role is all about analytics, include specific examples of how your data-driven decisions have led to successful outcomes. We appreciate a good story backed by numbers!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Google
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of Python, R, and SQL. Be ready to discuss how you've used these tools in past projects, especially in relation to brand measurement frameworks and marketing analytics. Prepare examples that showcase your experience with experimental design and machine learning.
✨Showcase Your Problem-Solving Skills
Think of specific instances where you've tackled complex business problems using data analytics. Be prepared to explain your thought process and the impact of your solutions. This is your chance to demonstrate how you can generate practical solutions for marketing analytics challenges.
✨Communicate Like a Pro
Since you'll be presenting to senior-level executives, practice how you articulate your recommendations clearly and persuasively. Use storytelling techniques to make your data insights relatable and impactful. Remember, it's not just about the numbers; it's about the story they tell.
✨Understand the Bigger Picture
Familiarise yourself with Google's media strategy and how data science fits into it. Be ready to discuss how your role as a Business Data Scientist can drive business change and improve marketing effectiveness. Showing that you understand the company's goals will set you apart from other candidates.