Join TikTok Local Services in San Jose, CA onsite to help power data-driven growth. This Data Scientist role focuses on building and operating the data infrastructure behind local services, using rigorous analysis to understand how online and offline activities influence transaction conversion. You will partner closely with business teams by translating operational signals into actionable insights, while monitoring performance and recommending optimizations.
What you’ll do
- Build and improve operational data infrastructure for local services, covering online and offline activities, video-to-merchant matching, transaction flows, search and recommendation modules, traffic monitoring, and supply monitoring.
- Maintain data accuracy and ensure data outputs align with key business scenarios.
- Study the relationship between operational activities and transaction conversion rates, scientifically estimating each activity’s contribution to conversion improvements across different industries.
- Continuously monitor key metrics, diagnose causes of metric movement, and propose optimization and improvement opportunities.
- Strengthen communication with business partners by producing regular analysis reports and helping identify potential growth opportunities.
What you bring
- Bachelor’s degree in a data science related field.
- 3+ years of experience in data science or a related data science field.
- Background in data-related areas such as statistics, computer science, business analytics, or quantitative analysis.
- Strong curiosity and the ability to proactively understand business needs, quickly grasp business logic, and translate it into data-driven problems.
Nice to have
- Excellent communication and coordination skills.
- Experience collaborating effectively across departments.
- Ownership, responsibility, and teamwork mindset.
- Industry experience related to local services such as dine-in, online ordering, travel OTA, and operational strategy or sales management analysis.
- Experience with model development including causal inference, data mining, or similar techniques.
Compensation and benefits
Base salary range: $179,200 - $277,200 annually (San Jose). Compensation may vary based on qualifications, skills, competencies, experience, and location.
This role may also be eligible for additional discretionary bonuses/incentives and restricted stock units. Total compensation includes base pay, and eligibility for equity and incentives may vary. Benefits may vary depending on the nature of employment and country work location.
- Day one access to medical, dental, and vision insurance
- 401(k) savings plan with company match
- Paid parental leave
- Short-term and long-term disability coverage
- Life insurance
- Wellbeing benefits
- 10 paid holidays per year
- 10 paid sick days per year
- 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
- Additional discretionary bonuses/incentives and restricted stock units (eligibility mentioned)
Additional information
Employment type: Regular. Job code: A84369A.
TikTok is committed to providing reasonable accommodations in 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, reach out to: https://tinyurl.com/RA-request.
For Los Angeles County (Unincorporated) candidates: qualified applicants with arrest or conviction records will be considered in accordance with federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. The company notes that criminal history may have a direct, adverse, and negative relationship with certain job duties, potentially resulting in withdrawal of a conditional offer.
