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Senior Data Scientist, Research

California, United States (On-site)

Senior Data Scientist, Research

1 Hour ago • 3-8 Years • Data Analyst

About the job

5 skills required for this role

Add these skills to join the top 1% applicants for this job

unity

python

sql

data-science

scalability

Job Description

As a Senior Data Scientist at Google, you will evaluate and improve Google's products by collaborating with a multi-disciplinary team of engineers and analysts. Responsibilities include identifying and clarifying business questions, translating them into tractable analyses and models, designing and evaluating models to solve defined problems, gathering and compiling data across various sources using tools like SQL, R, and Python, and ensuring data quality. The role requires using custom data infrastructure or existing data models and a deep understanding of statistical methods and scientific excellence to improve product creation, development, and user experience. This position requires strong analytical skills, proficiency in programming languages (Python, R, SQL), database querying, and a strong understanding of statistical analysis.

Must have:

Master's degree in related quantitative field
5 years experience (or 3 with PhD)
Proficiency in Python, R, SQL
Strong analytical & statistical skills
Data gathering, cleaning & validation
Collaborate with cross-functional teams

Good to have:

8 years of experience (or 6 with PhD)
Experience with large datasets
Experience building and deploying models

Minimum qualifications:

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications:

8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree

About the job

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific excellence and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user.

The US base salary range for this full-time position is $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

View Full Job Description

$150.0K - $223.0K/yr (Outscal est.)

$186.5K/yr avg.

Mountain View, California, United States

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About The Company

Google

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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.