Business Data Scientist, Growth and Opportunity Marketing

About the role

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.

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 managing end-to-end brand measurement frameworks, including brand

lift studies, Marketing Mix Modeling (MMM), or Multi-Touch Attribution (MTA).

• Experience with LTV modeling and user segmentation analyses.
• Experience with querying and manipulating large data sets, particularly in

SQL.

• Experience with root cause analysis to ensure that problems are solved at

both tactical and strategic levels.

ABOUT THE JOB:

Google's leadership team hand-picks thorny business challenges, and members of

BizOps work in small teams to find solutions. As part of this team you fully

immerse yourself in data collection, draw insight from analysis, and then zoom

out to develop compelling, synthesized recommendations. Taking strategy one step

further, you also persuasively communicate your recommendations to senior-level

executives, roll-up your sleeves to help drive implementation and check back-in

to see the impact of your recommendations.

Know the user. Know the magic. Connect the two. At its core, marketing at Google

starts with technology and ends with the user, bringing both together in

unconventional ways. Our job is to demonstrate how Google's products solve the

world's problems--from the everyday to the epic, from the mundane to the

monumental. And we approach marketing in a way that only Google can--changing

the game, redefining the medium, making the user the priority, and ultimately,

letting the technology speak for itself.

As a Business Data Scientist supporting marketing projects such as the Google

Career Certificate, you will lead projects, translate business problems into

investigative solutions, and guide our team to implement data science solutions,

improve data, and build models for business insights.

In this role, you will be directly responsible for providing data-driven

decisions to empower our team’s business growth. You will perform advanced

analytics on complex first and third-party data, stand up the data

infrastructure enabling user insights mining, drive initiatives in

experimentation and media measurement (MMMs, MMTs, etc.), and lead user

segmentation modeling (through machine learning and other methods) in

partnership with our Growth team.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Provide support in media strategy, measurement and optimization that require

expertise in advanced analytics work, with focus on marketing analytics

methods and data science.

• Improve our understanding of our customers through user segmentation and

cohort exploration. Identify and quantify our highest LTV customers, and help

us acquire and retain them.

• Design and analyze controlled experiments or counterfactual causal inference

studies to examine the incremental impact of our initiatives (marketing and

GTM).

• Build the data infrastructure connecting complex first- and third-party user

logs to enable your work. Build and improve the infrastructure that you will

use for modeling and analysis.

• Work with a range of stakeholders ranging from technical to non-technical.

Synthesize and communicate business insights from advanced techniques to

executives in simple language.