Data Scientist, Research, App Safety Engineering

Company: Google Inc.
Location: Mountain View
Posted on: May 4, 2025

Job Description:

Data Scientist, Research, App Safety Engineering

• link Copy linkMidExperience in driving progress, solving problems, and mentoring junior team members; deep expertise and applied knowledge in relevant areas.Apply
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  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative fields.
  • At least 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or conducting statistical analysis; or 3 years 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 conducting statistical analysis; or 6 years with a PhD degree.
    • Experience in articulating and translating business questions and applying statistical techniques to derive insights from data.About the jobAt Google, data-driven decision-making is fundamental. Quantitative Analysts across the organization help shape Google's strategies by analyzing large datasets. Using statistical methods, you identify opportunities to enhance efficiency, from improving advertising effectiveness to optimizing network infrastructure and understanding user behavior. You collaborate with Engineers, Product Managers, Sales, and Marketing teams to implement findings into practice. The role involves problem identification and solution development.Our team's mission is to protect Android users from abusive apps, including malware, content abuse, impersonation, and behavioral abuse. Success in this role directly contributes to a safer Android ecosystem.As a Data Scientist on the App Safety Engineering team, you will work with stakeholders across product, engineering, and operations to conduct data research, develop methodologies for production systems, and support key safety decisions. Your analysis will focus on ecosystem impact and model effectiveness. You will translate data insights into actionable recommendations and process improvements, managing multiple stakeholder requests to maximize impact.Responsibilities
      • Work with large, complex datasets; solve challenging analysis problems using advanced quantitative methods as needed.
      • Perform data gathering, requirements specification, processing, analysis, model development, evaluation, and communicate results effectively.
      • Collaborate with Product Management, Engineering, and Operations to define questions, objectives, and metrics; select appropriate quantitative methods.
      • Develop and refine methodologies and frameworks to establish reliable organizational metrics.
      • Understand production systems, advocate for necessary changes, and develop data-driven solutions to improve efficacy.Google is committed to equal opportunity employment, fostering a diverse and inclusive workforce. We respect all individuals 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. For more information, see Google's EEO Policy and related resources.English proficiency is required for all roles to ensure effective global collaboration.Note: Google does not accept unsolicited resumes from recruitment agencies and is not responsible for fees related to such resumes.
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Keywords: Google Inc., Carmichael , Data Scientist, Research, App Safety Engineering, Engineering , Mountain View, California