Business and Marketing Data Scientist, Applied Machine Learning

Google Inc.; New York (NY); On-site; USD 138,000 - 197,000; Full time

Job summary

Google New York is seeking a mid-level Business and Marketing Data Scientist in Applied Machine Learning to partner with Engineering, Product, and Finance teams to develop and deliver machine learning and predictive analytics solutions at scale for Google Customer Solutions.

You will build recommendation engines and impact measurement tools for Google Customer Solution Sales and Marketing to increase impact and operational effectiveness across the advertiser journey, and you will design, test,

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.

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.

Skills

Analytics for product problems

Coding in Python/R/SQL

Education

Master's degree in CS/Math/Applied Stats/ML or equivalent practical experience

PhD in CS/Engineering or related field (preferred)

Tools

Python

R

SQL

Job description

Business and Marketing Data Scientist, Applied Machine Learning

Google - New York, NY, USA; Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

• 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 .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.