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Data Scientist II, Product, Age Assurance, Trust Experience

Data Scientist II, Product, Age Assurance, Trust Experience

2 Weeks ago • 1-2 Years • Data Analyst

About the job

3 skills required for this role

Test your skills to join the top 1% applicants for this job

java

python

sql

Job Description

This Data Scientist II role at Google's Age Assurance team focuses on providing reliable, privacy-preserving age signals. The position involves using statistical data analysis, data mining, and querying (SQL, R, Python) to identify minors through predictive methods and design user experiences for age verification. Responsibilities include data gathering, analysis, experiment design, A/B testing analysis, and collaborating with engineering and product teams. The candidate will develop and manage metrics, evaluate programs/products, and communicate findings to team leaders. The role requires a Master's degree in a quantitative field or equivalent experience and at least one year of experience in statistical data analysis and querying. Proficiency in scripting languages (R, Python) is preferred.

Must have:

Master's degree in quantitative field
1 year experience in statistical data analysis
SQL, R, Python proficiency
Data mining and querying skills
Experiment design and A/B testing analysis

Good to have:

Experience with scripting languages (R, Stata, SPSS, SAS)
Experience in Python or Java
Experience developing and managing metrics
Program evaluation experience

Perks:

Bonus
Equity
Benefits

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Minimum qualifications:

Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
1 year of experience with statistical data analysis, data mining, and querying (e.g., SQL).

Preferred qualifications:

1 year of experience in scripting or statistical analysis (e.g., R, Stata, SPSS, SAS).
Experience in scripting or programming languages (Python, Java)
1 year of experience developing and managing metrics or evaluating programs/products.
Deep interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

The Age Assurance team's mission is to provide Google with reliable, privacy-preserving age signals, and support seamless, age-appropriate journeys across Google. In this role, the Age Assurance team plays a critical role identifying minors through predictive methods and design user experiences that allows users to proactively verify their age and thereby get access to more sensitive content.

The US base salary range for this full-time position is $102,000-$150,000 + 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

Perform analysis utilizing relevant tools (e.g. SQL, R, Python). Apply standard/common tools, resources, and processes to defined problems and for moderately difficult projects, execute analytical tasks with guidance.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
Select appropriate approaches from clear options to address technical challenges.
Develop working relationships outside of the team to contribute to cross-project collaborations and better understand data or products. Leverage a foundational understanding of broader business priorities and analytical techniques.
Help design and analyze experiments and consult with eng teams on the analysis of A/B tests (especially when methodological complications arise or the interpretation is not straightforward)

View Full Job Description

$102.0K - $150.0K/yr (Outscal est.)

$126.0K/yr avg.

Worldwide

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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.