Data Science Leader for Advanced Fraud Prevention Systems

7 days ago


Hyderabad, Telangana, India myGwork Full time
Protecting Customer Safety with Data-Driven Solutions

This role is with myGwork, a leading platform for the LGBTQ+ business community. We are an inclusive employer and committed to diversity.

About the Job

We are seeking an experienced Data Scientist to join our innovative team at Amazon's Buyer Risk Prevention (BRP) Machine Learning group. As a senior member of our team, you will design and develop advanced algorithmic systems that help manage safety of millions of transactions every day.

You will work closely with software engineers, product managers, and domain experts to identify and address challenges requiring innovative solutions for our products. Your expertise in supervised and unsupervised algorithms will be essential in rapidly designing, prototyping, and testing multiple hypotheses in a high-ambiguity environment.

Key Responsibilities
  • Demonstrate proficiency in tree-based models, neural networks, and clustering techniques.
  • Rapidly design, prototype, and test multiple hypotheses using quantitative analysis and business judgment.
  • Report findings in a scientifically rigorous manner.
  • Collaborate with cross-functional teams to integrate successful experiments into large-scale production services.
  • Maintain technical documentation and effectively communicate results to diverse audiences.
Requirements

To succeed in this role, you will need:

  • 7+ years of experience as a data scientist or similar role.
  • Proficiency in SQL, Python, R, SAS, or other statistical/mathematical software.
  • Experience with deep learning and hosting/deploying ML solutions.
  • Bachelor's degree in a quantitative field such as statistics, mathematics, data science, or computer science.

PREFERRED QUALIFICATIONS:
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Master's degree in a quantitative field.
- Experience as a technical leader and mentor on a data science team.

The estimated salary range for this position is $140,000 - $200,000 per year, based on industry standards and location.



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