Data Scientist University Graduate (Start ASAP)

Your role

Key responsibilities are as follows:

• Work with large, complex data sets to solve non-routine analysis problems.
• Conduct data gathering, processing, analysis, and present findings to stakeholders.
• Make business recommendations through effective presentations and visual displays.
• Research and develop methods to enhance Google's user-facing products.
• Collaborate with teams to create data-driven and privacy-preserving products.
• Combine experimentation, statistical-econometric, and machine-learning methods to address business questions.

About you

The ideal candidate will have:

• A Master's degree in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or a related field, or equivalent practical experience.
• Experience with statistical software such as R, Python, S-Plus, or SAS.
• Internship or work experience with data, including quantitative methodologies and causal inference.
• Preferred qualifications include a PhD in a relevant field and experience with statistical data analysis, machine learning, and teaching new techniques.

Compensation & benefits

Google offers a competitive salary, performance-based bonuses, comprehensive healthcare, and various perks such as wellness programs and on-site amenities.

Training & development

Opportunities for professional growth include access to development programs, mentorship, and learning new techniques like differential privacy.

Career progression

Successful candidates can expect career advancement opportunities within Google, with potential growth into senior data science roles or leadership positions over the next few years.

How to apply

Submit your application by preparing a resume and cover letter detailing your qualifications and experience.