below marketmost similar roles pay hereabove market
This role pays more than
78%
of similar roles. Most pay
$158,675–$219,256
— the blue band above.
At the midpoint, this role pays about
$229k
versus about
$189k
for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has
89 open roles
on FindRole.
Listed pay typically runs
$216,700–$303,000
across 89 roles with salary data.
Senior Data Scientist, Safety Enforcement joins the Safety Enforcement Data Science team to build and optimize systems that detect and mitigate abuse. This hands-on role involves owning the enforcement lifecycle by translating ambiguous abuse risks and written policies into measurable signals, labels, and detection approaches. You will investigate adversarial behavior, prototype models, tune decision thresholds, and monitor systems after deployment. Key responsibilities include analyzing large-scale behavioral and network data to identify emerging threats and designing evaluation frameworks for precision, recall, and fairness. You will utilize SQL, Python, and machine learning techniques, including classification, ranking, and language models. The role addresses the technical challenge of converting policy into scalable, automated mitigation while managing false positives and operational costs within a fast-paced, adversarial safety domain.
What does a Data Scientist earn in Remote?
Median $216300 from 36 postings across 16 companies.
Lead the enforcement lifecycle from problem framing and signal discovery to model development and monitoring.
Analyze large-scale behavioral and network data to identify adversarial patterns and emerging threats.
Build and evaluate decision systems using statistical, machine-learning, or GenAI methods.
Create evaluation frameworks to measure precision, recall, fairness, and operational costs.
Partner with Engineering to productionize models, define logging needs, and establish launch guardrails.
Convert written policies into modelable targets, labels, and measurable enforcement outcomes.
Design experiments and staged rollouts to measure the real-world impact of safety interventions.
Support urgent investigations and conduct post-incident analyses to improve durable detection systems.
What we're looking for
Ph.D. with 4+ years or Master’s degree with 8+ years of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role.
Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains with incomplete or evolving data.
Expertise in SQL and Python to write production-grade, reusable analytical code and contribute to data pipelines.
Strong background in statistical analysis, experiment design, causal modeling, and ML techniques like classification, ranking, and anomaly detection.
Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring.
Proven ability to deconstruct ambiguous problems and communicate complex technical concepts to both technical and non-technical stakeholders.
Experience in Trust & Safety, integrity, fraud, spam, account security, or cybersecurity (preferred).
Experience with graph analysis, NLP, embeddings, weak supervision, synthetic data, or applying language models to detection and workflows (preferred).
AI Safety
ISO 26262
ISO 21448
IEC 61508
FMEA
FTA
HARA
STPA
V-Model
Requirements Management
Configuration Management
System Safety
Agile
Risk Management
Validation and Verification