Ecommerce Data Scientist: ML, Growth & Insights

TikTok USDS Joint Venture

Los Angeles (CA)

On-site

USD 137,000 - 228,000

Full time

2 days ago
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Job summary

TikTok USDS Joint Venture LLC is seeking a data science professional to empower its e-commerce product with rigorous analytics, experiments, and predictive modeling.

You will work on large datasets, build ML models to gauge creator value and user lifetime value, develop dashboards, and collaborate with PM/Ops/R&D to shape product strategy across cross-functional teams. This role offers exposure to a fast-growing platform and opportunities to influence product decisions based on data insights.

Qualifications

  • Master’s degree in mathematics, statistics, or computer science.
  • Proficient in SQL, Tableau; familiar with Python or R for modeling.
  • 3+ years of data science / ML experience.
  • Strong ability to communicate results to stakeholders.

Responsibilities

  • Work with large datasets and apply analytical methods.
  • Develop strategies with data mining, experiments, and data presentation.
  • Define and monitor product metrics to track trends.
  • Identify opportunities and drive roadmaps from insights.
  • Develop data pipelines and dashboards to enhance data infra.
  • Develop ML models to find creators and measure LTV.
  • Collaborate with PM/Ops/R&D and cross-functional teams to guide product strategy.

Skills

Statistical analysis
Data visualization
Experimentation
Communication

Education

Master's degree in mathematics, statistics, computer science

Tools

SQL
Tableau
Python
R

Job description

TikTok USDS Joint Venture LLC is seeking a data science professional to empower its e-commerce product with rigorous analytics, experiments, and predictive modeling.

You will work on large datasets, build ML models to gauge creator value and user lifetime value, develop dashboards, and collaborate with PM/Ops/R&D to shape product strategy across cross-functional teams. This role offers exposure to a fast-growing platform and opportunities to influence product decisions based on data insights.

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