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Data Scientist - Risk & Fraud Analytics (Online Payments)
- New York, New York, United States
- New York, New York, United States
À propos
The ideal candidate’s favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
Analyze raw data: assessing quality, cleansing, structuring for downstream processing.
Design accurate and scalable prediction algorithms.
Collaborate with engineering team to bring analytical prototypes to production.
Generate actionable insights for business improvements.
Qualifications
Bachelor’s degree or equivalent experience in quantitative fields (Statistics, Mathematics, Computer Science, Engineering, etc.).
At least 1–2 years of experience in quantitative analytics or data modeling.
Deep understanding of predictive modeling, machine‑learning, clustering and classification techniques and algorithms.
Fluency in a programming language (Python, C, C++, Java, SQL).
Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau).
Job Details
Seniority level: Associate
Employment type: Contract
Job function: Information Technology
Industry: IT Services and IT Consulting
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Compétences linguistiques
- English
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