دانشمند ارشد داده (کنترل کیفیت و عملکرد) - SnappBox

اسنپ تهران

بیش از یک ماه منتشر شده

Job Description

About Snapp:

Snapp is the pioneer provider of ride-hailing mobile solutions in Iran that connects smartphone owners in need of a ride to Snapp drivers who use their private cars to offer transportation services. We are ambitious, passionate, engaged, and excited about pushing the boundaries of the transportation industry to new frontiers and being the first choice for every user in Iran.

Responsibilities:

  • Develop end-to-end data driven solutions for finding fraudulent activities, using machine learning, deep learning, statistical learning methodology, and applied mathematics.
  • Detect fraudulent activities by reviewing transactions, identifying suspicious patterns, conducting investigations, and reporting findings.
  • Perform quality checks on the data and processes related to fraud detection and prevention.
  • Analyze and understand new fraud trends, patterns, and techniques.
  • Choose the proper metrics and for tracking and understanding current and future experiments.
  • Develop dashboards that provide reliable insights and visualization into performance relative to KPIs, projections, and historical performance.
  • Provide data analysis needed for operations decision making.
  • Enhance data collection procedures to include information that is relevant for building analytic systems.

Requirements

  • Proven experience in data science or AI engineering.
  • Excellent understanding of machine learning techniques and excellent programming skills in Python and Scala or Java.
  • Working experience using Redis or at least one of Kubernetes, Docker, MLflow, RabbitMQ, Kafka, Postgres, and Apache Spark.
  • Experience working with machine learning libraries (e.g. PyTorch, Tensorflow, Scikit-Learn).
  • Knowledge of fraud schemes, regulations, and best practices.
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Software Engineering, or equivalent experience is preferable.
  • 7/24 availability to handle any urgent issues or requests that may arise.
  • Strong analytical skills.
  • Proficiency in using query languages such as SQL.
  • Ability to work under pressure to tight deadlines.
  • Communication and presentation skills (Farsi and English).

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