Business and Marketing Data Scientist, Applied Machine Learning

About the role

MINIMUM QUALIFICATIONS:

• Master's degree in Computer Science, Mathematics, Applied Statistics, Machine

Learning, 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:

• PhD in Computer Science or Engineering, or a related field.
• Experience in driving a project from an experimental idea, proof-of-concept,

and a launched product feature.

• Experience in cross-functional collaboration, with engineering and product

teams.

• Experience in publications working with technologies.
• Experience with data ontologies with knowledge in graphs.

ABOUT THE JOB:

In this role, you will work in close partnership with several Engineering,

Product, and Finance teams across Google to develop and deliver machine learning

and predictive analytics solutions at scale to our Sales and Marketing

stakeholders. You will build recommendation engines and impact measurement tools

for Google Customer Solution Sales and Marketing to increase impact and

operational effectiveness across the customer journey. You will also build,

test, and scale statistical and machine learning models that measure and amplify

impact across the entire advertiser journey from acquisition to growth and

continuation.

Additionally, you will be responsible for the regular and ad-hoc delivery of

business growth incrementality of programs, as well as the design and

statistical analysis of pilot results. You will partner with various teams to

develop statistical models, customer-level recommendations and automated

solutions, consolidating existing Google technologies and building new ones. You

will also work with others on the team to harness the power of Google’s data

with machine learning to provide insights at scale that drive both long-term

strategy and near-term operations for sales and marketing.

Google Customer Solutions (GCS) sales teams are trusted advisors and competitive

sellers who maintain a relentless focus on customer success by bringing the best

Google has to offer to small- and medium-sized businesses (SMBs), which are the

backbone of our communities. As a member of our team, you’ll have the

opportunity to work with company owners and make a real difference in their

businesses by helping them grow. Together, we help shape the future of

innovation for customers, partners, and sellers...and we have fun doing it.

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:

• Build efficient and scalable Machine Learning (ML) models that help small and

mid-size businesses to grow their business, leveraging the power of Google

solutions.

• Solve real-world problems with the latest research in deep learning, natural

language processing, and understanding.

• Work with product teams to understand their objectives, product requirements,

constraints, and key metrics.

• Propose, build, evaluate, and debug machine learning models and algorithms.
• Integrate pipelines, models, and predictions into production serving systems.