Google
Business and Marketing Data Scientist II
Google, Mountain View, California, us, 94039
Google Business and Marketing Data Scientist II in Mountain View, California
Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.Minimum Qualifications:
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, 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.
3 years of experience in Deep Learning, Natural Language Processing (NLP), or Natural Language Understanding (NLU) and frameworks.
Preferred Qualifications:
PhD in a quantitative discipline such as Computer Science, Engineering, or equivalent practical experience.
4 years of experience in Deep Learning, Natural Language Processing (NLP), or Natural Language Understanding (NLU) and frameworks.
Experience in driving a project from an experimental idea to a proof-of-concept to a launched product feature.
Experience in cross-functional collaboration, with engineering teams and product teams.
The GCS Data Science team is working on challenging yet interesting problems for Google's Global Business Organization (GBO). Our vision is to build efficient and scalable ML models that help small and midsize businesses around the world to grow their business leveraging the power of Google solutions.
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.
Collaborate with stakeholders to understand the domain, business goals, and data infrastructure context.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.Minimum Qualifications:
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, 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.
3 years of experience in Deep Learning, Natural Language Processing (NLP), or Natural Language Understanding (NLU) and frameworks.
Preferred Qualifications:
PhD in a quantitative discipline such as Computer Science, Engineering, or equivalent practical experience.
4 years of experience in Deep Learning, Natural Language Processing (NLP), or Natural Language Understanding (NLU) and frameworks.
Experience in driving a project from an experimental idea to a proof-of-concept to a launched product feature.
Experience in cross-functional collaboration, with engineering teams and product teams.
The GCS Data Science team is working on challenging yet interesting problems for Google's Global Business Organization (GBO). Our vision is to build efficient and scalable ML models that help small and midsize businesses around the world to grow their business leveraging the power of Google solutions.
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.
Collaborate with stakeholders to understand the domain, business goals, and data infrastructure context.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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