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- Tasks: Lead data science projects to optimize marketing strategies and solve client challenges.
- Company: Join gTech Ads, a team dedicated to enhancing customer experiences with Google’s ad products.
- Benefits: Enjoy a collaborative environment, innovative projects, and the chance to work with cutting-edge technologies.
- Why this job: Make a real impact by using data to drive marketing success for clients worldwide.
- Qualifications: Master's degree in a quantitative field and 3 years of relevant experience required.
- Other info: Opportunity to work with Generative AI and advanced analytics in a global team.
The predicted salary is between 36000 - 60000 £ 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 PhD degree.
Preferred qualifications:
- 2 years of experience using or deploying digital analytics and measurement solutions.
- 2 years of experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, interpretation).
- Experience in Computer Vision and Natural Language Processing (NLP) in the context of marketing analytics.
- Knowledge of the statistical algorithms used in Marketing Analytics.
- Ability to bring Generative Artificial Intelligence (GenAI) technologies to customer problems in marketing.
About the job
gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self-help and in-product support to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers’ business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.
The gTech Ads Marketing Data Science team helps measure and optimize marketing ROI for Google’s clients. The team builds models that address clients’ key business challenges and learn the innovative technologies that drive Google products and bring those innovations to life in the context of specific client needs.
Responsibilities
- Lead data science aspects of client engagements in the area of marketing portfolio management.
- Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem, and own the development of the modeling framework.
- Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a solution.
- Work with customers and internal teams to translate data and model results into tactical and strategic insights for decision-making, and work with clients to integrate recommendations into business processes.
- Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied DS team, employing methods which create opportunities for scale, and help to drive innovation.
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Data Scientist, gTech Ads employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen 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 coding in your conversations. Highlight specific projects where you've used Python, R, or SQL to solve business problems, as this will resonate well with the team.
✨Tip Number 2
Familiarize yourself with the latest trends in digital analytics and measurement solutions. Being able to discuss how you've applied these in past roles will demonstrate your readiness to tackle the challenges at gTech Ads.
✨Tip Number 3
Prepare to discuss your experience with Machine Learning, especially in delivering insights to customers. Be ready to explain how you've scoped problems, built models, and interpreted results in a way that drives business decisions.
✨Tip Number 4
Engage with the concepts of Generative AI and its applications in marketing. Showing that you understand how to leverage these technologies for client solutions will set you apart from other candidates.
We think you need these skills to ace Data Scientist, gTech Ads
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in analytics, coding (especially Python, R, SQL), and any practical applications of statistical analysis. Tailor your CV to showcase how your background aligns with the requirements of the Data Scientist position.
Showcase Technical Skills: Clearly outline your proficiency in digital analytics, machine learning, and any experience with Computer Vision and Natural Language Processing (NLP). Mention specific projects or results that demonstrate your ability to deliver insights from ML to customers.
Demonstrate Problem-Solving Abilities: In your application, provide examples of how you've successfully tackled product or business problems using data-driven approaches. Highlight your ability to collaborate with stakeholders and translate complex data into actionable insights.
Tailor Your Cover Letter: Craft a compelling cover letter that connects your skills and experiences to the responsibilities outlined in the job description. Discuss your passion for marketing analytics and how you can contribute to enhancing client experiences at gTech Ads.
How to prepare for a job interview at WeAreTechWomen
✨Showcase Your Technical Skills
Be prepared to discuss your experience with coding languages like Python, R, and SQL. Highlight specific projects where you used these skills to solve business problems, as this will demonstrate your practical experience in analytics.
✨Demonstrate Your Problem-Solving Ability
During the interview, be ready to unpack complex problems and explain how you would approach them using statistical techniques. Use examples from your past work to illustrate your thought process and problem-solving strategies.
✨Highlight Experience with ML and Analytics
Make sure to discuss any experience you have with machine learning and digital analytics solutions. Share insights on how you've delivered actionable results from ML models and how they impacted client decisions.
✨Understand the Role of Collaboration
Since the role involves working with various stakeholders, emphasize your ability to collaborate effectively. Discuss experiences where you worked with cross-functional teams to drive innovation and improve client outcomes.
