# Sr. Data Scientist, Trust and Safety
**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** Remote
**Salary:** $140K-$288K
**Experience:** 5+ years
**Skills:** Python, SQL, Spark, Machine Learning, Statistical Methods, Sampling Techniques, Data Pipelines, LLMs, Dashboards, Ml Pipelines
**Posted:** 2026-05-13
> Designs ML-assisted sampling frameworks and statistical methods to measure unsafe content prevalence on Pinterest. Builds data pipelines and dashboards for Trust & Safety monitoring, partnering cross-functionally. Requires 5+ years data analysis experience, Python/SQL expertise.
## Job Description
## What you'll do

- Design and develop ML-assisted sampling techniques, applying expertise in statistical methods to accurately measure the prevalence of unsafe content, treating complex multi-component interactions as distinct measurement units.
- Apply rigorous statistical methods, drawing on knowledge of all kinds of sampling methods and their proper statistical application for complicated use cases, to calculate prevalence rates for specific Trust & Safety policy violations (e.g., Adult content, Self-harm, Harassment, Misinformation) and to further expand and improve the prevalence measurement.
- Build large-scale data pipelines to aggregate Pinner-generated queries, system responses, and recommended Pin images into a unified format for human and ML-based safety labeling.
- Partner cross-functionally to orchestrate "Offline" dashboards and robust "Online" production workflows for continuous safety monitoring.
- Collaborate closely with Trust & Safety teams to translate written safety policies into unified LLM prompts, coordinate BPO labeling queues, and calibrate labeler decision quality.

## What we're looking for

- 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.
- Strong interest and hands-on experience in platform safety, prevalence measurement, adversarial testing, responsible data measurement, or Trust & Safety.
- Deep familiarity with the measurement challenges of a complex ecosystem, including statistical interpretation of data.
- Experience designing and calibrating measurement frameworks, managing complex logging tables (e.g., user/interaction/component data), and defining directional success metrics.
- Strong quantitative programming (**Python**) and data manipulation skills (**SQL/Spark**); experience with complex ML pipelines and up-sampling.
- Ability to drive ambiguous measurement projects end-to-end, overcoming unstructured policy dependencies with high ownership.
- Excellent written and verbal communication skills, with the ability to advocate for decision quality before releasing metrics to executive leadership.
**Apply:** https://hotfix.jobs/jobs/sr-data-scientist-trust-and-safety-at-pinterest-c1d992b6-a404-455d-a1d6-65f9ac6eba44
**Canonical:** https://hotfix.jobs/jobs/sr-data-scientist-trust-and-safety-at-pinterest-c1d992b6-a404-455d-a1d6-65f9ac6eba44