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Trust & Safety ML Analyst, Google Workspace

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Google

5d ago

  • Job
    Full-time
    Senior Level
  • Data

AI generated summary

  • You need a bachelor's degree, 5 years in project management and data analysis, and experience in business/Statistical analysis. A relevant advanced degree and ML experience are preferred.
  • You will analyze unstructured data, build ML models, collaborate cross-functionally to address policy issues, and monitor model performance to enhance Trust and Safety solutions.

Requirements

  • Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience managing projects and defining project scope, goals, and deliverables.
  • 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • Preferred qualifications:
  • Master's degree or PhD in Computer Science, Statistics, Mathematics, or Operations Research.
  • 5 years of experience in roles related to business analysis, statistical analysis and Machine Learning.
  • Ability to solve unstructured business problems in fraud investigations and a risk management space.
  • Excellent process/project management, prioritization, analytical, problem-solving, and multitasking skills, with the ability to process data to drive business strategies and decisions.
  • Experience in building, analyzing and maintaining ML / AI models.

Responsibilities

  • Work with unstructured data sets to get insights and develop solutions on non-compliant inventory, conduct data analyses and identify opportunities for new signals and drive the utilization of these new signals to completion.
  • Build and evaluate models that automate decision-making or generate leads for content review teams.
  • Work cross-functionally with Product, Engineering, and other enforcement teams within Trust and Safety to push for policy changes and resolve product vulnerabilities.
  • Drive strategy and team focus on using data mining and analysis techniques to provide insights on abuse and operational trends.
  • Develop and analyze production ML models to ensure high quality performance.

FAQs

What is the minimum educational qualification required for this position?

A Bachelor's degree or equivalent practical experience is required for this position.

How many years of experience in data analysis are required?

At least 5 years of experience in data analysis is required, including identifying trends and drawing insights from data.

Is project management experience required for this role?

Yes, a minimum of 5 years of experience managing projects and defining project scope, goals, and deliverables is required.

Are there any preferred qualifications for this position?

Yes, preferred qualifications include a Master's degree or PhD in Computer Science, Statistics, Mathematics, or Operations Research, along with experience related to business analysis, statistical analysis, and Machine Learning.

Will I be working with unstructured data sets?

Yes, the role involves working with unstructured data sets to derive insights and develop solutions.

What kind of teams will I be collaborating with in this position?

You will work cross-functionally with Product, Engineering, and other enforcement teams within Trust and Safety.

Is experience in building ML/AI models necessary for this role?

Yes, experience in building, analyzing, and maintaining ML/AI models is preferred for this position.

What are the main responsibilities of this job?

Responsibilities include analyzing data for insights, building and evaluating models, driving strategy on data mining, and ensuring the performance of production ML models.

Does Google have a commitment to equal employment opportunity?

Yes, Google is an equal opportunity workplace and is committed to equal employment opportunity regardless of various factors, including race, gender, and disability.

Technology
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Employees
1998
Founded Year

Mission & Purpose

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.