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Senior Data Scientist Tech Lead, Research, YouTube

Google

San Bruno (CA)

On-site

USD 166,000 - 244,000

Full time

4 days ago
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Job summary

A leading company is seeking a Senior Data Scientist Tech Lead for YouTube. In this role, you will mitigate abuse using advanced machine learning techniques and guide other data scientists. Your expertise will drive innovation in detecting emerging threats. The position offers a competitive salary, bonus, and equity, along with a commitment to diversity and inclusion.

Qualifications

  • 5 years experience in analytics or 3 years with a PhD.
  • 8 years preferred experience in analytics or 6 years with a PhD.

Responsibilities

  • Collaborate with stakeholders to identify business questions.
  • Design and evaluate models to solve defined problems.
  • Own data gathering and validation processes.

Skills

Analytics
Coding
Statistical Analysis
Leadership

Education

Master's degree in Statistics
PhD

Tools

Python
R
SQL

Job description

Senior Data Scientist Tech Lead, Research, YouTube

Apply

  • 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.
  • 1 year of experience in leadership, mentoring, or management.
  • Experience leading complex projects with multiple cross-functional stakeholders and changing priorities.
About the job

As a Data Scientist Tech Lead, you will focus on mitigating abuse such as scams, misinformation, and harassment. You will leverage deep mathematical and statistical expertise and collaborate with Machine Learning (ML) engineers to develop and apply machine learning techniques, including enhancing ML models, optimizing data sampling for fine-tuning large multimodal AI models, and contributing to advanced Large Language Models (LLM)-based content moderation tools. You will guide and mentor other data scientists and engineers, bringing novel methodologies to drive innovation in detecting and addressing emerging threats.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Individual pay within the range depends on work location, skills, experience, and education. Your recruiter can provide specific salary details for your preferred location during the hiring process.

Responsibilities
  • Collaborate with stakeholders across projects to identify and clarify business or product questions; translate these into analysis, metrics, or models.
  • Design and evaluate models using custom data infrastructure or existing data models to solve defined problems.
  • Gather information on business goals, organizational context, and data infrastructure.
  • Own data gathering, extraction, and validation processes using tools like SQL, R, Python to ensure data quality for analysis.

Google is an equal opportunity employer committed to diversity and inclusion. We provide equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions. Learn more about our policies and rights at Google.

English proficiency is required for all roles to facilitate global collaboration. We do not accept agency resumes and are not responsible for fees related to unsolicited resumes.

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