Senior Abuse Analyst
Job Summary
Job Description
Analyze bad actor behavior patterns to understand their motives and tactics, recommending strategic solutions to mitigate their impact. Create and refine detection models using machine learning outputs and signals to minimize bad actors in the ecosystem. Code complex SQL and Spark queries on large datasets. Understand engineering systems that generate signals and propose new ones. Use strong communication skills to contribute to business rulesets and improve rule efficacy. Analyze, manipulate, and process large datasets using statistical software, creating visualizations to convey results. Identify business problems addressable through data analysis, forming technical solutions for complex bad actor detection problems. Adopt best practices, set high engineering standards, and mentor team members. Oversee platform integrity and user safety by identifying underlying issues and emerging trends in bad actor behavior to maintain a safe environment.
Must have:
- Analyze data to identify gaps and recommend improvements.
- Write big data queries (SQL, Spark, Amazon Redshift).
- Utilize data visualization tools (Grafana, Mode, Tableau).
- Create dashboards, visuals, and reports to share insights.
- Perform data analytics in a Python notebook environment.
- Conceptualize, create, and implement algorithms and models.
- Employ best practices like team mentorship and ML model validation.
Good to have:
- Create and refine detection models.
- Understand engineering systems for signal generation.
- Propose new signals leveraging engineering systems.
- Contribute to business rulesets for improved efficacy.
- Process large datasets using statistical software.
- Create graphs, charts, or visualizations for analysis results.
- Identify business problems addressable through data analysis.
- Form technical solutions for bad actor detection.
- Mentor and technically lead team members.
Perks:
- Telecommuting may be permitted
15 skills required
Job Details
Analyze data on bad actor behavior patterns to understand their motives and tactics. Recommend strategic short-term and long-term solutions to mitigate their impact. Create and refine detection models that consume machine learning outputs and signals to minimize the presence of bad actors in the ecosystem. Code complex and efficient SQL and Spark queries on datasets in the scale of hundreds of millions of rows. Understand the engineering systems that generate signals and propose new signals that leverage them. Use strong communication skills (written and verbal) to contribute to business ruleset to improve efficacy of rules and their coverage of different abuse segments. Analyze, manipulate, or process large sets of data using statistical software. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. Identify business problems that can be addressed through data analysis. Form technical solutions to address complex bad actor detection problems and be drivers and owners of the corresponding domain. Adopt best practices and set high engineering standards for the team, and form engineering recipes for the team to adopt. Mentor and technically lead other members on the team when solving a problem. Oversee platform integrity and user safety by identifying underlying issues and emerging trends in bad actor behavior to maintain a safe and trusted environment for all members. Conduct comprehensive data analytics to identify patterns of bad actors. Utilize statistical software to analyze, manipulate, and process large datasets effectively. Develop and implement enhancements to detection systems, improving bad actor identification and overall performance. Design and execute complex engineering solutions efficiently. Telecommuting may be permitted. When not telecommuting, must report to 285 Hamilton Ave, Palo Alto, CA 94301. Salary: $146,078 - $179,500 per year.
MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field, plus 5 years of professional experience as Anti-Abuse Analyst, Business Analyst, or any occupation/position/job title involving data analysis or data science.
In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master's degree or U.S. equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field, plus 3 years of professional experience as Anti-Abuse Analyst, Business Analyst, or any occupation/position/job title involving data analysis or data science.
Must also have experience in the following: 3 years of professional experience analyzing data to identify gaps to recommend and implement improvements to systems; 3 years of professional experience writing big data queries including SQL, Spark or Amazon Redshift; 3 years of professional experience utilizing data visualization tools including Grafana, Mode or Tableau; 3 years of professional experience creating dashboards, visuals, or reports to share insights; 3 years of professional experience exploring data in search for actionable intelligence; 3 years of professional experience performing data analytics in a python notebook environment, including Databricks, Looker, Snowflake, Pandas, or Jupyter; 3 years of professional experience conceptualizing, creating, and implementing algorithms and models; 1 year of professional experience employing best practices (including team mentorship, anomaly detection techniques, ML model validation, A/B testing, and production deployment).
$146,078 - $179,500 a year
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, CA.
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