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# Lead Data Scientist - E-Commerce Recommendation

- **Company:** Tiktok Inc
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $208,050.0 - $335,920.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Big Data, Relational Databases, Apache Hadoop, Machine Learning, SQL Databases, Tableau (Software), Information Technology, Data Analytics
- **Published:** September 13, 2026
- **Apply:** https://www.themuse.com/jobs/tiktok/lead-data-scientist-ecommerce-recommendation-multiple-positions

## About the Role

Must have a Master's degree or foreign equivalent degree in Data Science, Business Analytics, Computer Science, Engineering (any), Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Data Science, Business Analytics, Computer Science, Engineering (any), Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience.

Of the required experience, must have 3 years of experience in each of the following:
Leveraging advanced data gathering, processing, and analysis techniques to develop and deliver data-driven recommendations that support and influence key business decisions;
Conducting forecasting and experiment analysis, and communicating quantitative insights through clear visualizations using Tableau or Excel;
Researching and developing analyses, forecasting, and optimization methods to improve product quality using SQL, time series, and causal inference experiments;
Cleaning, processing, and analyzing large-scale datasets using relational databases or Hadoop systems; and
Building and validating machine learning models including clustering, classification, and other predictive models to solve business problems.

Travel Requirement: International travel required up to 20%.

## Description

Develop and iterate internal strategies, working with algorithm and product teams to improve recommendation performance and support growth in the E-Commerce ecosystem., Use causal inference, Machine Learning and other technologies to actively explore opportunities in traffic, products, operations, and strategies.
Complete in-depth special project analysis and provide strategic suggestions through qualitative and quantitative analysis, model construction, and experimental verification.
Partner with stakeholders across product, engineering, and business teams to identity trends, align data science solutions with strategic goals, and to deliver scalable, data-driven improvements.
Conduct A/B test result collection and provide analysis reports as well as strategy improvement recommendations.
Mentor and support junior and mid-level data scientists.


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