Machine Learning Algorithm Developer for eCommerce Fraud Prevention

15 hours ago

Bengaluru, Karnataka, India myGwork Full time

Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community, is seeking a skilled Machine Learning Algorithm Developer to join its Buyer Risk Prevention (BRP) team.

About the Role

We are looking for a talented scientist who is passionate about building advanced algorithmic systems that help manage safety of millions of transactions every day. As a key member of our team, you will design, prototype, and test multiple hypotheses in a high-ambiguity environment, utilizing quantitative analysis and business judgment.

Key Responsibilities

  • Demonstrate proficiency in supervised algorithms (tree-based models, neural networks) and unsupervised algorithms (clustering).
  • Rapidly design, prototype, and test multiple hypotheses in a high-ambiguity environment, utilizing quantitative analysis and business judgment.
  • Report findings in a scientifically rigorous manner.
  • Collaborate with software engineers, product managers, and domain experts to identify and address challenges requiring innovative solutions for our products.
  • Aquire knowledge of Amazon's diverse data resources and determine when, how, and which resources to leverage or exclude.
  • Integrate successful experiments into large-scale, highly complex production services by collaborating with software engineering teams.
  • Maintain technical documentation and effectively communicate results to diverse audiences.
  • Evaluate trade-offs by considering complexity, long-term benefits, and the reusability of existing solutions.

BASIC QUALIFICATIONS:

  • 7+ years of data scientist experience or similar role.
  • 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.
  • Experience with statistical models e.g. multinomial logistic regression.
  • Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
  • Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences).

PREFERRED QUALIFICATIONS:

  • Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).
  • Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
  • Experience as a technical leader and mentor on a data science team.

The estimated salary for this position is $170,000 - $220,000 per year, based on industry standards and location. If you're passionate about preventing eCommerce fraud and have the skills to match, we'd love to hear from you

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