Business Data Scientist (Portuguese, English)
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Please submit your resume in English - we can only consider applications submitted in this language.
Minimum qualifications:
- Master's degree in Statistics, Mathematics, Bioinformatics, Economics, a quantitative field, or equivalent practical experience.
- 5 years of experience in a data science field.
- Experience with statistical software (e.g., R, Python, MATLAB) and database languages (e.g. SQL).
- Ability to communicate in English and Portuguese fluently to support client relationship management in this region.
Preferred qualifications:
- PhD in Statistics or a related quantitative discipline.
- 5 years of experience in statistical data analysis (e.g., generalized linear models, multivariate analysis, clustering or segmentation, and sampling methods).
- Experience in controlled experiment design and causal inference methods.
- Experience with machine learning on computing systems (e.g., Hadoop, MapReduce, or a similar system).
- Ability to prioritize requests, teach others, learn techniques, partner in a environment with competing demands, collaborate with stakeholders, and communicate analysis insights to non-technical audiences.
- Ability to take initiative with excellent leadership and communication skills.
About the job
As a Business Data Scientist, you will perform data analytics, lead initiatives in experimentation and measurement, and advance machine learning modeling capability to support global marketing programs.
In collaboration with multidisciplinary teams, you will tap into the underlying data, develop and align on metrics or methodologies, and generate insights that enable marketers to develop marketing programs. You will design, prototype, and build out analysis pipelines to support initiatives and marketing campaigns at scale. You will perform analysis, design and execute on experimentation, and conduct incremental measurement analysis to inform on strategic decisions for marketing programs across the entire Ads Marketing space.
In this role, you will build analytical frameworks and measurement capabilities to generate data driven insights that lead business growth. You will present and communicate to marketing partners and leadership to inform on decision making.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
Responsibilities
- Work with large, complex data sets and solve complex analysis problems, applying advanced analytical methods (e.g. statistical and machine learning models). Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed.
- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities.
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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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