Applied ML Data Scientist: Growth & Marketing Analytics

Google; New York (NY); On-site; USD 142,000 - 193,000; Full time

Job summary

Google is hiring for a role focused on developing machine learning and predictive analytics solutions at scale for Sales and Marketing stakeholders. You will build recommendation engines and impact measurement tools to increase operational effectiveness across the advertiser journey.

You will collaborate with Engineering, Product, and Finance teams to design and implement statistical models, automate solutions, and test pilot results while contributing to growth initiatives and long-term

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.
• PhD in Computer Science or Engineering, or a related field.

Responsibilities

• Develop machine learning and predictive analytics solutions at scale for Sales and Marketing stakeholders.
• Build recommendation engines and impact measurement tools to increase operational effectiveness.
• Test and scale statistical and ML models across the advertiser journey.
• Partner with teams to develop statistical models, customer-level recommendations and automated solutions.

Skills

Analytics

Python

SQL

R

Education

Master's degree or PhD in a relevant field

PhD in Computer Science or Engineering

Tools

Databases

Job description

Google is hiring for a role focused on developing machine learning and predictive analytics solutions at scale for Sales and Marketing stakeholders. You will build recommendation engines and impact measurement tools to increase operational effectiveness across the advertiser journey.

You will collaborate with Engineering, Product, and Finance teams to design and implement statistical models, automate solutions, and test pilot results while contributing to growth initiatives and long-term