Applied Science Manager, Applied AI - Data Cycling Center

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
We are looking for a Data Science Manager with a strong focus in AI/ML. You will be accountable for driving the innovation and execution of the data science practice. This includes project collaboration with the business, and providing technical leadership in end-to-end ML practice to ensure SOTA and scalable ML deliverables.

Responsibilities:
- Build and lead the data science team, and establish the DS/ML practice in the team.
- Design a strategic roadmap for long-term data science development, have knowledge of the latest industry technologies and align them with department strategies.
- Collaborate with business leaders to identify potential areas of data science applications.
- Oversee all data science projects, provide technical leadership in ideation and execution, identify potential business risks, and align on the deliverables.
- Recruit, onboard, and mentor other junior/senior data scientists; provide career development to other team members.

Qualifications

Minimum Qualifications:
- PhD, M.S., or Bachelors degree in Statistics, Economics, Computer Science or another quantitative field with
-5 years of industry experience in the Data Science field
-5 years in Data Science leadership and managing a team
- Demonstrated excellence in a relevant AI/ML discipline (CV, NLP, ASR, etc.), including experience with ML frameworks such as Tensorflow, PyTorch
- Solid knowledge of traditional machine learning algorithms, e.g. regression, classification, unsupervised, AB testing, hypothesis testing, and optimization
- Experience in managing end-to-end data science products - data pipeline, model development, model testing and deployment, business integration

Preferred Qualifications:
- Experience in managing the engineering scope, implementation of ML SDLC practice
- 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

Job Information

【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $201000 - $395000 annually.​

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: ​

We cover 100% premium cov