At a Glance
- Tasks: Drive impactful data solutions and collaborate with cross-functional teams to enhance user experiences.
- Company: Join Google, a leader in tech innovation and e-commerce.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real difference by shaping data-driven decisions for millions of users worldwide.
- Qualifications: Strong background in data science, analytics, and coding skills like Python and SQL.
- Other info: Dynamic work environment with a focus on creativity and collaboration.
The predicted salary is between 36000 - 60000 Β£ per year.
Minimum qualifications:
- 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 taking projects from ambiguous concepts to finished, high-quality data products within a cross-functional unit.
- Experience navigating e-commerce or marketplace data, including an understanding of merchant behaviour and consumer life-cycles.
- Experience in SQL, with the ability to build maintainable data workflows and statistical models.
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. As a Senior Data Scientist, you are central to our mission of building intelligent, machine-consumable data products that enhance Googleβs understanding of its e-commerce merchants and shoppers. You will bridge the gap between datasets and business outcomes, serving as a technical leader within a cross-functional team. At this level, you will not be confined to a product silo; instead, you will have the autonomy to solve the most impactful problems across the organization. You will partner with data engineering and product teams to build industry-leading insights and data assets.
Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and businesses around the world use our products (like Google Shopping and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.
Responsibilities:
- Address high-priority issues across various product areas to drive significant organizational impact.
- Own ideas from initial framing to final delivery, operating with velocity and holding the team accountable for high-quality results.
- Partner with Data Engineering to build AI-centric, self-serve products that provide automated understanding of merchant experiences.
- Collaborate with User Experience Research (UXR) and cross-functional partners to ensure technical solutions are rooted in user understanding.
- Advocate for data integrity as a subject matter expert, resolving ambiguity through clear, data-driven communication.
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.
Senior Product Data Scientist, Google Shopping employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Product Data Scientist, Google Shopping
β¨Tip Number 1
Network like a pro! Reach out to current or former Googlers on LinkedIn and ask for a chat. People love sharing their experiences, and you might get some insider tips that could give you the edge.
β¨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you're comfortable with SQL, Python, and statistical analysis. Practise explaining complex concepts in simple terms β itβs all about storytelling with data!
β¨Tip Number 3
Showcase your projects! Create a portfolio that highlights your best work, especially those that demonstrate your ability to turn ambiguous ideas into solid data products. This will help you stand out as a candidate who can deliver results.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, it shows youβre serious about joining the team at Google and ready to make an impact.
We think you need these skills to ace Senior Product Data Scientist, Google Shopping
Some tips for your application π«‘
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 your skills to solve real-world problems, so donβt hold back on the details!
Tell a Story with Data: When you describe your past projects, weave in some storytelling. Explain how you took ambiguous concepts and turned them into high-quality data products. This will show us your ability to connect the dots between data and business outcomes.
Tailor Your Application: Donβt just send a generic application! Tailor your CV and cover letter to reflect the specific qualifications and responsibilities mentioned in the job description. We love seeing candidates who take the time to align their experiences with what weβre looking for.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Itβs super easy, and it helps us keep track of all applications. Plus, youβll be one step closer to joining our amazing team!
How to prepare for a job interview at WeAreTechWomen
β¨Know Your Numbers
As a Senior Product Data Scientist, you'll be expected to have a solid grasp of statistics and analytics. Brush up on your statistical analysis skills and be ready to discuss how you've used data to solve real-world problems. Prepare examples that showcase your experience with Python, R, or SQL, as these will likely come up in conversation.
β¨Showcase Your Projects
Be prepared to talk about specific projects where you took ambiguous concepts and turned them into high-quality data products. Highlight your role in cross-functional teams and how you collaborated with others to achieve results. This will demonstrate your ability to navigate complex environments and deliver impactful solutions.
β¨Understand the E-commerce Landscape
Since this role involves working with e-commerce data, make sure you understand merchant behaviour and consumer life-cycles. Familiarise yourself with current trends in online shopping and how data can drive better decision-making in this space. This knowledge will help you connect your skills to the company's mission.
β¨Communicate Clearly
You'll need to weave stories from data and communicate findings effectively. Practice explaining complex data insights in simple terms, as you'll be presenting to various stakeholders. Being able to advocate for data integrity and resolve ambiguity through clear communication is key to success in this role.