Senior Adaptive Data Analyst

Summary

Join Discord's Adaptive Data Analytics team as a highly analytical professional responsible for protecting users from scaled abuse, including spam, account compromise, and payment fraud. You will develop strategies to address existing and emerging threats, leverage data-driven insights, and collaborate with various stakeholders. This role requires expertise in data science, machine learning, and anti-abuse engineering. You will utilize scripting languages, SQL, and machine learning classifiers to combat bad actors, create reports and recommendations, and manage metrics. Success in this position demands strong problem-solving, communication, and stakeholder management skills. The role offers a competitive salary and benefits package.

Requirements

• 5+ years of experience working with scripting languages like Python or Javascript, and expert level proficiency with SQL on large datasets
• 5+ years of experience combating scaled abuse online, with proactive and innovative approaches to handle adversarial actors, understanding the tradeoffs and risks that come with this space
• Strong problem-solving, troubleshooting, and investigative skills: we believe in getting to the root of the matter instead of just addressing symptoms
• 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 both technical and non-technical key stakeholders at various levels
• Experience conducting experimentation in production — formulating and testing hypotheses to assess the impact of anti-abuse automation including both rules and machine learning models
• Familiarity with standard software engineering practices, such as spec creation, code review, version control, and writing technical documentation
• A passion for protecting users, bringing a highly empathetic, tenacious, scrappy, creative, and positive mindset to combat bad actors

Responsibilities

• Understand and drive down existing and emerging scaled abuse threats in various spam and fraud related problem spaces through anti-abuse automation — utilizing heuristic rules and machine learning classifiers to stop bad actors
• Think both quantitatively and qualitatively to create reports and recommendations shaping safety strategy — improving, optimizing, and innovating our scaled anti-abuse methodology
• Propose projects, features, and other investments with well crafted RFC’s, and secure buy-in from leadership for these initiatives
• Consult with product teams on new features being introduced on Discord, and propose plans to help reduce or remove abusive behavior before it happens
• Manage metrics and incoming streams of reports and appeals from users and communities to identify developing patterns of abuse
• Work cross-collaboratively with other teams, including Product, Safety Engineering, ML, CX in response to complex and time-sensitive issues

Preferred Qualifications

• Experience creating and operationalizing innovative new metrics to bring visibility and insights into unmeasured problem spaces
• Experience developing Machine Learning models or feature engineering to improve existing models
• A strong background in statistics or causal inference

Benefits

• The US base salary range for this full-time position is $180,000 to $202,500 + equity + benefits
• #LI-Remote