Inclusively is partnering with a voice, video, and text communication service company to hire a Senior Adaptive Data Analyst. Please note: this role is NOT an internal position with Inclusively but with the partner company.

ABOUT INCLUSIVELY:

Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.

What you'll be doing

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 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

What you should have

5+ years of experience working with scripting languages like Python or Javascript, and expert level proficiency with SQL on large datasets
3+ 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 actorst

Bonus Points

The ideal candidate has had experience in either a Machine Learning Engineer, Security Engineer, or Data Scientist role. Some key skills that could make you stand out include:

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