Data Scientist, Product Infrastructure - TikTok (San Jose)

velopment, Machine Learning Engineering, to improve user experience and fulfill growth of TikTok in all different scenarios.

What You'II Do

• 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, analyze data to clarify current business issues based on project objectives, identify potential optimization directions for user experience, and provide effective data insights and momentum for overall business development.
• Review and analyze 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 optimize problems, and provide accurate data-driven decision support for business iteration.
• Explore and summarize analytical methodologies, study analysis theories, and drive the iterative optimization of data products to improve analytical efficiency.

Qualifications

Minimum Qualifications

• 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, analyzing, 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.

Preferred Qualifications

• 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.
• Familiarity with open platform or account business logic is a plus.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $292600 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.

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 (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.