Jobright.ai
Junior Data Scientist, Financial Crimes - USDS
Jobright.ai, San Jose, California, United States, 95199
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Junior Data Scientist, Financial Crimes - USDS
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Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Junior Data Scientist, Financial Crimes - USDS
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: TikTok is the leading destination for short-form mobile video, and they are seeking a Data Scientist to join their USDS Financial Crime Compliance team. This role involves developing machine learning models to detect financial crimes, analyzing data for suspicious patterns, and collaborating with various stakeholders to enhance compliance efforts. Responsibilities: • Develop, implement, and optimize machine learning models to detect money laundering, fraud, and other financial crimes, leveraging techniques such as anomaly detection, clustering, and predictive modeling. • 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, including performing ad-hoc data analysis, that assist Financial Crime Compliance leadership in decision-making and strategic planning processes. • Design and implement data visualization dashboards and reporting tools to communicate insights and findings from financial crime detection efforts. • Collaborate with internal stakeholders to design, develop, validate, and implement AML scenarios, and conduct threshold tuning to optimize performance. • Document and manage projects related to threshold tuning, scenario design, and detection methodologies. • Collaborate with cross-functional teams, including product, engineering, and operations to integrate machine learning solutions into existing systems and processes. • Perform special projects, and additional duties and responsibilities as required. Qualifications: Required: • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. • 2+ years of experience in data analysis, statistical modeling, machine learning, 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, evaluate information objectively, and communicate well-reasoned conclusions based on evidence and logic. Preferred: • Proficiency in programming languages such as Python or R, as well as experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). • Experience with data visualization tools and techniques for creating interactive dashboards and reports (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, with knowledge of financial crime compliance regulations and methodologies, including anti-money laundering (AML) and know your customer (KYC) requirements. • Strong communication skills and the ability to translate technical concepts into clear and concise insights for non-technical stakeholders. Company: TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance. Founded in 2003, the company is headquartered in Los Angeles, California, USA, with a team of 10001+ employees. The company is currently Late Stage. TikTok has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Junior Data Scientist, Financial Crimes - USDS
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Junior Data Scientist, Financial Crimes - USDS
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: TikTok is the leading destination for short-form mobile video, and they are seeking a Data Scientist to join their USDS Financial Crime Compliance team. This role involves developing machine learning models to detect financial crimes, analyzing data for suspicious patterns, and collaborating with various stakeholders to enhance compliance efforts. Responsibilities: • Develop, implement, and optimize machine learning models to detect money laundering, fraud, and other financial crimes, leveraging techniques such as anomaly detection, clustering, and predictive modeling. • 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, including performing ad-hoc data analysis, that assist Financial Crime Compliance leadership in decision-making and strategic planning processes. • Design and implement data visualization dashboards and reporting tools to communicate insights and findings from financial crime detection efforts. • Collaborate with internal stakeholders to design, develop, validate, and implement AML scenarios, and conduct threshold tuning to optimize performance. • Document and manage projects related to threshold tuning, scenario design, and detection methodologies. • Collaborate with cross-functional teams, including product, engineering, and operations to integrate machine learning solutions into existing systems and processes. • Perform special projects, and additional duties and responsibilities as required. Qualifications: Required: • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. • 2+ years of experience in data analysis, statistical modeling, machine learning, 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, evaluate information objectively, and communicate well-reasoned conclusions based on evidence and logic. Preferred: • Proficiency in programming languages such as Python or R, as well as experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). • Experience with data visualization tools and techniques for creating interactive dashboards and reports (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, with knowledge of financial crime compliance regulations and methodologies, including anti-money laundering (AML) and know your customer (KYC) requirements. • Strong communication skills and the ability to translate technical concepts into clear and concise insights for non-technical stakeholders. Company: TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance. Founded in 2003, the company is headquartered in Los Angeles, California, USA, with a team of 10001+ employees. The company is currently Late Stage. TikTok has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Scientist” roles.
Data Scientist, Analytics - Safety Response
Mountain View, CA $110,000.00-$160,000.00 4 weeks ago Data Scientist Graduate (TikTok-Product-Data Science)-2026 Start (BS/MS)
San Jose, CA $114,000.00-$177,777.00 1 week ago San Jose, CA $109,000.00-$192,400.00 1 week ago AI/ML Engineer (Multiple roles and seniority levels)
Fremont, CA $145,000.00-$204,000.00 4 days ago Santa Clara, CA $170,000.00-$225,000.00 19 hours ago Mountain View, CA $141,000.00-$202,000.00 3 days ago Data Scientist, Energy Analytics, Google Cloud
Sunnyvale, CA $166,000.00-$244,000.00 1 week ago Mountain View, CA $136,301.00-$172,486.00 1 week ago Senior Data Scientist, ML - Recommendations
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Mountain View, CA $183,000.00-$271,000.00 2 weeks ago Software Development Engineer In Test (SDET)
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San Jose, CA $144,000.00-$329,333.00 2 weeks ago Sunnyvale, CA $158,200.00-$185,000.00 4 weeks ago Data Scientist - Trust and Safety - San Jose
San Jose, CA $144,000.00-$329,333.00 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr