Business Data Scientist, Subscriptions and Customer Growth 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.

• Experience building and deploying machine learning models, with practical

application in recommendation engines or customer segmentation

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 in controlled experiment design and causal inference methods.
• Applied experience with machine learning on large-scale computing systems

like Hadoop, MapReduce or similar environments.

• Expertise with statistical data analysis such as generalized linear models,

multivariate analysis, clustering/segmentation, and sampling methods.

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. Google Marketing starts with

technology and ends with the user, bringing them together unconventionally. We

approach marketing by demonstrating how our products solve problems—from the

everyday to the epic—changing the game, redefining the medium, prioritizing the

user, and letting the products speak for themselves.

The Subscriptions and Customer Growth Marketing organization drives consumer

apps and subscription growth. We partner with product engineering and insights

to understand the user and bring helpful products to market while deepening the

consumer relationship. We’re passionate about showing consumers how to get more

out of their favorite Google subscriptions and consumer apps.

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:

• Work with large, complex data sets, applying advanced analytical methods to

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.

• 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.

• 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.