Applied ML Data Scientist for Marketing Growth

Google Inc.

New York (NY)

On-site

USD 138,000 - 197,000

Full time

11 days ago

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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.