Data Scientist, Product Infrastructure San Jose

Responsibilities

Responsible for conducting deep analysis into user behavior, product features, and content ecosystem, generating actionable business insights.

• Work with large, complex data to solve technical and statistical challenges, driving business impact.
• Gain in-depth understanding of business logic in the customer service domain, assess metric system rationality and accuracy, monitor performance and provide early warnings.
• Collaborate with recommendation algorithms, product and operations teams to clarify business issues, identify optimization directions and provide data insights to support decision‑making.
• Review and analyze issues in open platform (mini games, short drama) and account data pipeline, collaborate with business teams on improvement plans, correct and optimize problems.
• Explore and summarize analytical methodologies, study analysis theories, drive iterative optimization of data products to improve analytical efficiency.

• Bachelor's degree or higher, preferably in Statistics, Data Science, Computer Science, Economics, or a related major.
• 2+ years of relevant data analysis experience; proficient in SQL, Python, or R for data processing; basic statistical knowledge; experience in data‑driven business.
• Excellent logical thinking skills, problem‑solving, cross‑department communication and collaboration abilities, and passion for challenges.
• Strong learning ability, curiosity, positive and proactive attitude, rigor, independent exploration, resilience.

• Familiarity with open platform (mini games, drama) and account business logic.
• 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. in a quantitative field.
• Experience in product‑side data analysis and Internet C‑end app project experience.

Qualified applicants with arrest or conviction records will be considered 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:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information, including proprietary and trade secret information and access to information technology systems;
• Exercising sound judgment.