Adaptive Data Operations Specialist

As an Anti-Spam Adaptive Data Specialist, you will help keep Discord free of spam. The highly analytical and strategic position will be responsible for user questions and reports regarding spam, as well as influencing scaled approaches to uprooting new spam vectors before they impact users and for managing quality assurance of existing anti-spam measures. You will report into our Manager of Adaptive Data Operations. Successful candidates will be highly collaborative and versatile in their approaches and be able to uncover abuse vectors as they take shape

What you'll be doing

• Own documentation and quality assurance of Discord’s scaled anti-spam efforts, and flag potential deviations to relevant stakeholders
• Think both quantitatively and qualitatively to create reports and suggestions that improve and optimize our scaled anti-spam methods
• Analyze new and potential product features and propose plans to help reduce or remove spammy behavior before it happens
• Manage incoming streams of spam reports and spam-related appeals from users and communities to identify developing patterns of abuse
• Work cross-collaboratively with other teams, including Product, Safety Engineering, ML, CX in responding to complex and time-sensitive issues

What you should have

• 1 years of experience exploring data and investigating problems using SQL and data visualization software (eg. Tableau, Looker, Amplitude)
• 1 years of experience writing ad-hoc scripts or automation in Python, R, or a similar language
• Thoughtfulness, creativity, and empathy towards users
• Troubleshooting and investigative skills: we believe in getting to the root of the matter instead of just addressing symptoms
• A strong interest in online harm mitigation--you’ve seen how seemingly safe features are abused by bad actors, and understand tradeoffs and risk that come with online interactions
• Ability to tailor insights to audiences who have varying degrees of domain expertise and technical knowledge

Bonus Points

• Experience in online safety, anti-spam, security, fraud, or other adversarial spaces
• Background collaborating with data partners and/or user-facing support roles, such as Data Science and Engineering teams, Trust & Safety, or CX.
• High-level understanding of statistics concepts (e.g., hypothesis testing, probability distributions, relationship between variables)
• Familiarity with common software engineering methodology including code review, technical documentation, and sprint processes
• Familiarity with ticketing systems. (Ex. Zendesk)

The US base salary range for this full-time position is $135,000 to $145,000 equity benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Salary : $135,000 - $145,000