As an Anti-Spam Adaptive Data Specialist, you will be responsible for helping to 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.  Successful candidates will be highly collaborative and versatile in their approaches, be comfortable rolling up their sleeves to uncover abuse vectors as they take shape, and be able to communicate technical complexity and policy considerations with a range of technical and non-technical stakeholders.

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, optimize, and innovate 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

• 1-3+ years experience using data analysis and/or ad-hoc scripting to solve complex problems.
• Strong problem-solving, 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
• Previous experience with data analysis and/or scaled quality assurance
• Strong stakeholder management skills––you’re adept at improving processes and know how to leverage the skills of multiple disparate teams
• Ability to work in a fast-paced environment and make important decisions under pressure
• Excellent communication skills––you can efficiently and eloquently present ideas, updates and results to key stakeholders at various levels

Bonus Points

• Background in data and/or user-facing support roles, such as Trust & Safety or CX.
• High-level understanding of statistics concepts (e.g., hypothesis testing, probability distributions, relationship between variables)
• Demonstrated interest in anti-spam and/or responsible innovation initiatives
• Proficiency in various data analysis and scripting languages such as:
  • SQL
  • Python
  • Git
• 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.