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Senior Specialist Data Scientist - Remote

Posted 2 weeks ago

Overview

Actimize Premier is seeking a Senior Specialist Data Scientist to lead, manage, and contribute to the development of cutting-edge algorithms and machine learning solutions that are integral to our fraud detection and anti-money laundering (AML) platforms. You will guide and mentor a team of data scientists and analysts, while also contributing hands-on to developing innovative models, driving research initiatives, and implementing scalable, real-world applications.

In Short

  • Lead and mentor a team of data scientists and analysts.
  • Oversee hiring, performance reviews, and career development.
  • Inspire innovation in fraud detection and AML.
  • Collaborate with cross-functional teams to align solutions with business objectives.
  • Design and optimize machine learning models for fraud detection.
  • Leverage cloud platforms for scalable AI/ML implementations.
  • Deliver impactful presentations to executives.
  • Drive the adoption of advancements in AI and statistical methods.
  • 8+ years of experience in software or data science.
  • Hands-on experience with Python and SQL.

Requirements

  • BS or MS in Computer Science or related degree.
  • 8+ years of experience in the software or data science industry.
  • Proven track record of algorithm development and statistical analysis.
  • Hands-on experience with Python for statistical analysis and machine learning.
  • Practical experience with databases (SQL/MySQL).
  • Exposure to generative AI and complex systems.
  • Proficiency in machine learning and user behavior models.
  • Experience with cloud infrastructures like AWS, Azure, and Google Cloud.
  • Understanding of natural language processing (NLP).
  • Effective people management skills.

Benefits

  • Work in a hybrid model with flexibility for remote work.
  • Be at the forefront of fraud detection and AI-driven security solutions.
  • Opportunity to lead transformative advancements.
  • Collaborative and innovative work environment.
  • Direct impact on innovative products.

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