Product Data Scientist: Growth & Causal Modeling

TikTok Inc.

San Jose (CA)

On-site

USD 137,000 - 277,000

Full time

14 days+

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Benefits offered by this job

Medical/Dental/Vision
401(k) match
Paid parental leave
Disability coverage
Life insurance
Wellbeing benefits
Paid time off

Job summary

TikTok Inc. is seeking a Data Scientist to design and monitor core metrics, identify root causes of metric movements, and guide product decisions with model-driven analyses.

You will collaborate with product managers, engineers, and data analysts on diverse projects to translate insights into measurable product changes. The role emphasizes causal modeling of user behavior, growth opportunities, and delivering actionable recommendations to improve ecosystem outcomes.

Qualifications

  • Bachelor's degree in a quantitative discipline.
  • 2+ years in statistical modeling and ML.
  • Ability to communicate conclusions to both technical and non-technical audiences.
  • Proficiency in SQL, Python or R.

Responsibilities

  • Leverage data to solve challenging business problems from full-spectrum of product and business lines using analytical and statistical approaches.
  • Build and improve applicable statistical models, e.g. LTV and ROI prediction, to guide user growth decisions.
  • Initiate model-driven analysis to provide deep insights into various products and establish an inter-product analytic paradigm.
  • Work with Product, Operations, Engineering and cross-functional teams to drive product development through analytic, statistical, and algorithmic expertise.
  • Design, run and analyze A/B experiments to inform and execute the product strategy.

Skills

Statistical modeling
Machine learning
SQL
Python/R

Education

Bachelor's degree in a quantitative discipline

Tools

SQL
Python
R

Job description

TikTok Inc. is seeking a Data Scientist to design and monitor core metrics, identify root causes of metric movements, and guide product decisions with model-driven analyses.

You will collaborate with product managers, engineers, and data analysts on diverse projects to translate insights into measurable product changes. The role emphasizes causal modeling of user behavior, growth opportunities, and delivering actionable recommendations to improve ecosystem outcomes.

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