Business and Marketing Data Scientist

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics

or a related field and 6 years of progressive, post-baccalaureate experience

in the job offered or in a Business Data Science-related occupation.

• Alternatively, will accept a Master’s degree in Data Science, Statistics,

Computer Science, Mathematics or a related field, and 4 years of experience

in the job offered or in a Business Data Science-related occupation.

• Position requires 4 years of experience in the following: Framing ambiguous

business problems into tractable quantitative problems; Application of

quantitative methods such as statistical and optimization; models to solve

complex problems; Data extraction, manipulation, and cleaning for analysis;

Python or R for statistical analysis and implementing algorithms; and

Presenting and defending data-driven solutions to senior leadership.

ABOUT THE JOB:

The Global Business Organization (GBO) is the engine that powers Google’s full

ecosystem of products and services to help customers and partners succeed and

grow. GBO includes the commercial arms of Ads sellers, business development

teams, and customer services and support, as well as overlay programs that

enable coordinated engagement with Google's most complex and important customers

and partners.

The US base salary range for this full-time position is $196,920 - $237,000 +

15% bonus target + equity + benefits determined by role, level, and location.

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

skills, experience, and relevant education or training. Learn more about

benefits at Google

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

Position reports to the Google Seattle, WA office & may allow for a hybrid

schedule as per Google policy.

RESPONSIBILITIES:

• Collaborate with stakeholders to translate business goals into tractable

analytical questions, defining requirements and roadmaps.

• Drive outcomes for a project as a key contributor by providing analytical

solution strategy and troubleshooting expertise.

• Generate ideas required to solve analytical problems with multiple approaches

to reach an optimal solution, even if the problem is ambiguous by taking full

ownership of the solution, often involving activities beyond analysis and

coding.

• Build new processes, procedures, methods, tests, and models with foresight to

anticipate and address future business problems. Act as subject matter

specialist for analytical insights and solutions within a domain such as

large-scale operations, marketing analytics, statistical modeling,

forecasting, or optimization.

• Utilize comprehensive knowledge of data structures, Google’s platforms, and

data science methods to deploy analytical solutions and recommendations,

acting as a “go-to” person. Influence across their own team to help them

understand the supported stakeholder and their business goals and priorities.