Data Scientist, Financial Crimes - USDS

$98,800 - $196,000/Yr

Tiktok - New York, NY

Full-time - Mid Level

Hybrid - New York, NY

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

As a Financial Crime Data Scientist at TikTok's U.S. Data Security (USDS), you will leverage machine learning and analytics to enhance the organization's capabilities in detecting and preventing financial crimes. This role involves analyzing large datasets, developing machine learning models, and creating visualizations to identify patterns and potential risks related to money laundering, fraud, and sanctions violations. You will collaborate with cross-functional teams to implement advanced technology solutions that ensure regulatory compliance and protect user data.

Responsibilities

• Develop, implement, and optimize machine learning models to detect money laundering, fraud, and other financial crimes.
• Analyze large volumes of transactional and user data to identify suspicious patterns or behaviors indicative of financial crimes.
• Perform data analysis to support transaction monitoring, sanction, KYC, and high-risk investigation teams.
• Design and implement data visualization dashboards and reporting tools to communicate insights from financial crime detection efforts.
• Collaborate with internal stakeholders to design, develop, validate, and implement AML scenarios.
• Document and manage projects related to threshold tuning, scenario design, and detection methodologies.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and processes.
• Perform special projects and additional duties as required.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• 2+ years of experience in data analysis, machine learning, or data visualization, with a focus on financial crime compliance or related domains.
• Strong analytical skills and the ability to work with large datasets to extract actionable insights.
• Demonstrate strong critical thinking skills, with the ability to analyze complex problems and communicate well-reasoned conclusions.

Nice-to-haves

• Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data visualization tools and techniques for creating interactive dashboards (e.g., Tableau, Power BI, matplotlib).
• Familiarity with big data technologies and distributed computing platforms (e.g., Hadoop, Spark).
• Experience working with transaction monitoring, sanction screening, or KYC technologies.

Benefits

• 401(k) matching
• AD&D insurance
• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• 10 paid holidays per year
• 17 days of Paid Personal Time Off (PPTO)
• 10 paid sick days per year
• 12 weeks of paid Parental leave
• 8 weeks of paid Supplemental Disability
• Mental and emotional health benefits through EAP and Lyra
• Gym and cellphone service reimbursements