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Business Data Scientist, gTech Ads (English, Portuguese)
GoogleTel Aviv, Israel3+ years
Apply Please submit your resume in English - we can only consider applications submitted in this language.
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.
- Ability to communicate in English and Portuguese fluently to engage with clients in the region.
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.
- Experience leveraging data insights into storytelling for business stakeholders.
- Experience delivering insights from ML to customers (problem scoping/definition, modeling, interpretation).
- Experience using or deploying digital analytics and measurement solutions.
- Industry experience, including: retail, financial services/retail banking, insurance, telecommunications, automotive and Consumer Packaged Goods (CPG).
- Understanding of the statistical algorithms such as Bayesian models typically used in Marketing Analytics and MMMs.
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 Google Customer Solutions (GCS) Partner Engineering team in gTech Ads consists of engineers and data scientists providing custom solutions and technical consulting to Google’s partners.
As a data scientist, you will combine consulting and technical skills to solve complex marketing challenges for our largest advertisers. You will apply best practices and Google’s ML capabilities to execute gTech’s goals, delivering innovative, high-impact solutions through cross-functional collaboration.
In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).Responsibilities
- Lead Data Science client engagements focusing on marketing effectiveness and portfolio management, utilizing deep expertise in Marketing Mix Models (MMMs), ML, and statistics.
- Partner with customers, sales, and internal teams to unpack problems and build end-to-end statistical modeling frameworks, translating complex data into actionable strategic insights and co-presenting recommendations to integrate into business processes.
- Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied DS team, employing methods which create opportunities for scale, proactively helping to drive innovation.
- Develop comprehensive understanding of Google data structures, and metrics, advocating for product changes where needed.
- Engage key stakeholders to evaluate data and model readiness, successfully scaling proof-of-concepts into comprehensive solutions.
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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. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.