Vaga de Business Data Scientist (Portuguese, English)
1 vaga: | Publicada em 27/04
- A Combinar
Sobre a vaga
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.
Description
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
gTechs 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.
Summary
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.