Data Science Intern: Security & Risk Insights

TikTok

San Jose (CA)

Sur place

USD 40 000 - 57 000

Temps partiel

14 jours+

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Avantages offerts par ce poste

Health Insurance (day one)
Life Insurance
Wellbeing benefits
Housing allowance
Paid holidays

Résumé du poste

TikTok is offering a Data Science Intern role (Integrity and Safety) for Summer 2027 in San Jose. You will assist in designing core indicator systems for platform safety, build monitoring and anomaly attribution, and apply statistical methods to evaluate security strategies.

You will collaborate with product, operations, and algorithm teams to translate insights into actionable improvements. A 12-week commitment is required, with hands-on data cleaning, visualization, and risk analysis

Qualifications

  • Pursuing Undergraduate or Master’s in Data Science or related field.
  • Familiar with statistical methods; proficient in SQL, Python, and/or R.
  • Strong logical thinking and collaborative skills; data-driven mindset.
  • Must commit to at least 12 weeks.

Responsabilités

  • Assist in designing and maintaining core indicator systems for platform safety.
  • Participate in building monitoring and anomaly attribution systems.
  • Apply statistical methods (A/B tests, causal inference, regression) to evaluate strategies.
  • Assist in experimental result analysis to support business decisions.
  • Conduct quantitative analysis on business challenges using data mining.
  • Collaborate with product, operations, algorithm teams to translate insights into plans.
  • Help with data cleaning and preprocessing for reliable risk analysis.
  • Assist in creating data visualization reports and dashboards.
  • Learn and apply data analysis methodologies and tooling.

Connaissances

SQL
Python
R

Formation

Undergraduate/ Master's in Data Science

Description du poste

TikTok is offering a Data Science Intern role (Integrity and Safety) for Summer 2027 in San Jose. You will assist in designing core indicator systems for platform safety, build monitoring and anomaly attribution, and apply statistical methods to evaluate security strategies.

You will collaborate with product, operations, and algorithm teams to translate insights into actionable improvements. A 12-week commitment is required, with hands-on data cleaning, visualization, and risk analysis

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