Data Scientist, Product Infrastructure San Jose

Responsibilities

Tik Tok‑Data Science team is responsible for all data science and analytics related work, cooperating with all key value chains in Tik Tok. The goal of the team is to generate actionable insights from data and help stakeholders make the right decisions. Our main tasks include metrics defining, root‑cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.

The primary role of a Data Scientist for our Data team is to conduct deep analysis into user behaviour, product features and content ecosystem to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross‑function teams, such as Product Management, Research and Development, Machine Learning Engineering, to improve user experience and fulfil growth of Tik Tok in all different scenarios.

• Work with large and complex data to solve technical and statistical challenges, and drive business impact.
• Gain an in‑depth understanding of the business logic and user demand scenarios in the customer service domain, assess the rationality and accuracy of the metric system based on business goals, and efficiently monitor and provide early warnings on business performance.
• Collaborate with recommendation algorithms, product, and operations teams, analyse data to clarify current business issues based on project objectives, identify potential optimisation directions for user experience, and provide effective data insights and momentum for overall business development.
• Review and analyse the current issues in the open platform (mini games and short drama) and account data pipeline, collaborate with business teams to push forward improvement plans, correct and optimise problems, and provide accurate data‑driven decision support for business iteration.
• Explore and summarise analytical methodologies, study analysis theories, and drive the iterative optimisation of data products to improve analytical efficiency.

• Bachelor’s degree or higher, preferably in Statistics, Data Science, Computer Science, Economics, or related major.
• 2+ years of relevant data analysis experience, proficient in SQL, Python, or R for data processing, familiar with basic statistical knowledge, and some experience in data‑driven business.
• Excellent logical thinking skills, capable of identifying, analysing, and solving problems. Strong cross‑department communication and collaboration abilities, and passionate about challenges.
• Strong learning ability and curiosity, with a positive and proactive attitude. Approaches problems with rigor, capable of independently exploring and collaborating to solve issues, and possesses resilience.

• Familiarity with open platform (mini games and drama) and account business logic is a plus.
• Strong communication and teamwork skills.
• Passion about social products and curiosity to deep dive.
• Track record of driving business impact with data insights.
• Master or Ph.D. degree in a quantitative field.
• Experience in product‑side data analysis and Internet C‑end app project experience is a plus.

Compensation Description (Annually):
The base salary range for this position in the selected city is $136,800 – $292,600 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 recognise employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (pro‑rated upon hire with increasing…