Senior Data Scientist (Multiple Positions)

San Jose, California, US Until 9/11/2026 2+ years exp H-1B sponsor history First posted July 13, 2026 Last posted July 13, 2026
Job description

Description

About TikTok
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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible.
Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come.
By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
When we create and grow together, the possibilities are limitless.
Join us.

About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities
Conduct data analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
Design metrics framework to measure product health, track core metrics, and understand root causes of metric movements.
Conduct scientific evaluation with statistical methods, including A/B testing and causal inference.
Identify growth opportunities with data analytics and drive business decisions.
Partner with Product Managers, Machine Learning Engineers, and Research and Development team members to solve problems and identify trends and opportunities.
Research data science theories and methodology and improve analysis efficiency and data product tools.
Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.
Visualize and synthesize analytics and statistical approaches into easy-to consume storylines for the team to provide indicated actions for executive audiences.
Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Mentor junior and intern Data Scientists.

Requirements

Qualifications
Must have a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Finance, Statistics, Mathematics, or a related field, and 2 years of related work experience; OR a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Finance, Statistics, Mathematics, or a related field, and 5 years of post-bachelor’s, progressive related work experience.

Of the required experience, must have 2 years of experience in each of the following:
Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing;
Leveraging advanced data gathering, processing, and analysis techniques to develop and deliver data-driven recommendations to support business decisions;
Developing graphical and visual representations of data using business intelligence tool Excel or Tableau;
Building, tuning, and validating statistical models for regression and classification problems in Python or R; and
Conducting exploratory and predictive analysis using Python, R, or Scala.

Travel Requirement: International travel required up to 10%.

Employer: TT Commerce & Global Services LLC
Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $275850 - $292600 per year

To Apply, click the apply button below. Contact [email protected] if you have difficulty submitting resume through the website.

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://tinyurl.com/RA-request

#IND-DNI

About this role

Summary

Analyze data, develop metrics, build models, visualize insights, mentor juniors.

Job title

Senior Data Scientist

Experience level

2+ years or 5+ years

Minimum experience

2+ years exp

Industry

software

Location requirements

San Jose, California, USA; remote work not specified

Salary

$276k–$293k

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

SQLPythonRExcelTableauregressionclassificationexploratory analysis

Preferred skills

None specified

Specializations

data analysisstatistical modelingcausal inferenceA/B testingdata visualization
Locations

Structured locations inferred from the posting.

San Jose, CA, USA

Work arrangement unknown City