eDiscovery Data Preservation Engineer - USDS

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Team Intro
Within USDS, our eDiscovery team plays a critical role in supporting TikTok's Global Legal Team as well as Privacy & Security efforts by providing expertise in litigation discovery processes such as legal holds, preservation, collection, processing, review workflows, compliance management systems development, and cross-functional collaboration.

We are seeking a eDiscovery Data Preservation Engineer who will spearhead operational excellence within TikTok's eDiscovery program's strategy; implementing scalable workflows; collaborating with stakeholders across Legal, IT administrators, Privacy teams, and external counsel; while ensuring compliance with litigation requirements globally.

Responsibilities
- Collaborate on end-to-end workflows for the identification, preservation, collection, analysis, and reporting of electronically stored information (ESI) from multiple repositories (structured/unstructured data sources).
- Develop automated systems/tools using scripting/programming languages (Python/R/SQL) or APIs to streamline legal hold notifications and ensure defensible chain-of-custody processes.
- Apply forensic methodologies to extract metadata/artifacts from devices such as servers, cloud platforms (AWS/Azure/GCP), endpoints (Windows/macOS/Linux), mobile devices (iOS/Android), or proprietary systems.
- Build machine learning models or utilize statistical methods for analyzing large datasets related to eDiscovery matters-identifying patterns indicative of anomalies or potential risks.
- Design dashboards/reports that provide visibility into preservation metrics such as completeness rates, processing statuses, and timeline adherence.
- Partner with internal stakeholders including Legal Teams (Global & US), IT administrators/developers, Privacy/Security teams on scalable solutions that balance operational efficiency with compliance mandates.
- Act as technical SME on hybrid projects involving forensic techniques alongside applied analytics/data modeling approaches; provide support in translating complex technical findings into actionable insights during investigations/litigation cases.
- Maintain industry best practices around defensibility standards by staying up-to-date on evolving legal/compliance regulations impacting cross-border data transfers or multi-jurisdictional discovery efforts.

Qualifications

Minimum Qualifications
- Bachelor's degree in Computer Science/Engineering/Data Science/Cybersecurity/Law preferred-or equivalent industry experience in hybrid eDiscovery/data engineering roles.
- 3+ years of hands-on experience working on eDiscovery processes including legal hold management workflows; familiarity with tools like EnCase/Nuix/Relativity preferred.
- Strong programming/scripting skills using Python/R/SQL; ability to create custom scripts or automation frameworks supporting evidence collection/preservation tasks at scale.
- Knowledge of forensic principles including metadata extraction/log analysis/memory dumps/file carving across platforms such as macOS/APFS/HFS+, Windows NTFS/File System Events Logs/Security Logs/Linux daemons/crons/security artifacts/cloud environments (AWS S3 buckets).
- Experience building predictive models/statistical analyses leveraging libraries like TensorFlow/scikit-learn/Keras/Pandas/MATLAB where applicable!

Preferred Qualifications
- Familiarity working w machine learning pipelines focusing text-mining NLP sentiment-analysis natural-language-processing-tokenizer stemming algorithms too

D&I Statement
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Accommodation Statement
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/ktJP6

Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.