Business and Marketing Data Scientist, Applied Machine Learning

About the role

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.

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.

Requirements

• 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.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Pay

US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits

Schedule

Not specified