Senior Data Scientist
GoogleAbout the role
MINIMUM QUALIFICATIONS:
- Master's degree in a quantitative discipline such as Statistics, Engineering,
Sciences, or equivalent practical experience.
- 4 years of experience in data analysis or data science, including identifying
trends, generating summary statistics, and drawing insights from quantitative
and qualitative data.
PREFERRED QUALIFICATIONS:
- Ability to present to executives with clear communication, with a
demonstrated track record of cross-functional stakeholder management and
leadership through influence.
ABOUT THE JOB:
Artificial intelligence will be one of humanity’s most transformative
inventions. At Google DeepMind, we are a pioneering AI lab with exceptional
interdisciplinary teams focused on advancing AI development to solve complex
global challenges and accelerate high-quality product innovation for billions of
users. We use our technologies for widespread public benefit and scientific
discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer
diverse learning opportunities and varied career pathways for those driven to
achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $232000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
- Partner with product, engineering, and User Experience (UX) to develop
data-driven product strategies.
- Translate ambiguous questions into well-defined problems, design experiments,
and analyze large datasets for insights. Communicate findings and
recommendations to stakeholders, including executives.
- Build and deploy statistical/ML models to understand our users, enhance
product capabilities and personalize user experience.
- Advocate data-driven culture by feeding user engagement insights back into
models.
- Collaborate with the GenAI team on model quality and feature adoption.
Responsibilities
- Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies.
- Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights.
- Communicate findings and recommendations to stakeholders, including executives.
- Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience.
- Advocate data-driven culture by feeding user engagement insights back into models.
- Collaborate with the GenAI team on model quality and feature adoption.
Qualifications
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- Ability to present to executives with clear communication.
- Demonstrated track record of cross-functional stakeholder management and leadership through influence.
Benefits
- 15% bonus target
- equity
- comprehensive benefits package
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh