Data Science Manager, AIR Lead – Applied AI – Data Cycling Center – San Full-time

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo

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
The Applied AI (AAI) Team is a Data Science team that is part of the Monetization Integrity team in the Global Business Solutions of TikTok. It supports the Data Cycling Center, which focuses on empowering businesses with affordable and trusted data & models.

About The Role
As a CI Lead, you will be responsible for driving solutions involving AI/ML techniques, including computer vision (CV), natural language processing (NLP), and audio signal processing. You will be responsible for partnering with a variety of stakeholders (product, operations, policy, and engineering) and developing state-of-the-art models. Additionally, you will provide technical guidance, mentorship, and support to junior team members.

Responsibilities:
– Design and build core capabilities by leveraging content understanding; capabilities, such as natural language processing, machine learning, or computer vision, to extract insights and improve monetization strategies.
-Develop creative solutions and build prototypes for business problems using algorithms based on the latest deep learning, machine learning, statistics, and optimization techniques;
– Independently manage data projects from 0 to 1, and collaborate with product managers to define user stories, and success metrics to guide the development process;
– Verify the business value and estimated revenue of the project using methods such as A/B testing;
– Collaborate with engineering teams to deploy and scale data science solutions.

Qualifications

Minimum Qualifications:
– Bachelor’s degree or above in Computer Science, Software Engineering Math, or Statistics
-3 years of experience leading Data Science teams
-5 years experience in data modeling/analysis, with industry experience in ML/DL and one of CV/NLP/Speech;
-Knowledge of underlying mathematical fundamentals in statistics, machine learning, and analytics;
– Experience with exploratory data analysis, statistical analysis and hypothesis testing, and model development;
– Fluency in SQL, Hive, Presto, or Spark and having experience working with large datasets
– High proficiency in Python and SQL, and ML/DL frameworks such as TensorFlow, PyTorch;
– Clear understanding of data pipeline, model development, model testing, and deployment

Preferred Qualifications:
-5 years of experience leading Data Science teams
-Experience in CI/CD such as git and cloud services such as AWS/GCP/Azure will be highly desirable
-Strong communication skills, for example, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions.

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.

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/cdpT2