Analytics Engineer - USDS

Responsibilities

About TikTok U.S. Data Security
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

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.

About the Team
Our User Operations team is focused on bringing a world-class experience to our users. We're looking for a self-motivated data scientist to lead in deepening our understanding of our users' experience through the feedback they provide us and the way they interact with our platform. You will be responsible for creating processes and reporting to highlight learnings around users' general engagement with TikTok as well as feature-specific interactions. Your work will play a guiding role in shaping decision-making around product iteration and how we communicate with our users. If large data sets excite you, you have a track record of creating narratives that drive action and you thrive in working through ambiguity, this is the role for you.

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.

Responsibilities
- Be a strategic partner for TTP/USDS & Marketing Science teams: identify critical analytical problems and apply an engineering mindset to find innovative solutions with data.
- Develop expertise in the USDS data to build and own relevant pipelines/ETLs.
- Own data integrity, availability, transformation logic, and efficient data access to support the growing needs of the organization.
- Identify gaps in existing data, create data product specs, and work with data warehouse teams to implement data tracking.
- Incorporate automation wherever possible to improve data pipelines and analyses.
- Build and maintain documentation to ensure data accessibility
- Be our go-to data expert and have a deep understanding of our data warehouse and data processing layers.
- Be a primary point of contact for ad hoc data requests and reporting

Qualifications

Minimum Qualifications
- 4 years of professional experience architecting and building data models that integrate complex and disparate data sources, using tools such as dbt.
- Using MLOps tools to standardize, automate, and manage end-to-end machine learning projects. Familiarity with Airflow DAGs a plus.
- 4 years of experience working with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
- Causal inference with experimentation (eg. AB, AA , factorial designs) and/or leveraging observational data (eg. contextual bandit, matching algorithms).
- 2 years of SQL and database table design - able to write structured and efficient queries on large data sets. In addition understand the utilization of Pyspark.
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data

Preferred Qualifications
- Expert in a data-oriented programming language (e.g. Python, R, Scala, etc.). Familiarity of OOP is a plus.
- Proficient in ETL and data warehousing best practices and core statistics concepts
- Top-notch organizational skills and ability to manage multiple projects in a fast-paced environment
- Comfortable with ambiguity; able to thrive with minimal oversight and process.

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 usds.accommodations@tiktokusds.com

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.