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MTS 1, Machine Learning Engineer

MTS 1, Machine Learning Engineer

Paypal
4-7 Years
Not Disclosed

This job is no longer accepting applications

Job Description

Lead ML Scientist as part of the India Seller Risk ML team at PayPal

Job Description:

Your way to impact

  • You will actively partner with Risk Strategy teams and build cutting-edge ML models that enable frictionless experience for our good sellers, while minimizing the losses from bad actors in the system.

Your day-to-day

  • Work with business partners and stakeholders to understand the business, formulate the problems, come up with the solutions and communicate them back effectively to non-technical audience.
  • Lead complex, multifunctional data science projects
  • Design, develop and implement real-time, highly complex advance machine learning models to solve business problems.
  • Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, R, H2O, Hadoop and SQL
  • Collaborate with engineers to implement models on one of the best data platforms in the industry.
  • Analyze data to identify trends, perform root cause analysis and test hypotheses.
  • Communicate complex concepts and the results of the models and analyses to technical and non-technical audience.

What you need to bring

  • Bachelors/Masters/Ph D in Computer Science/Data Science with 4+ years of practical experience in building ML models at scale.
  • Strong problem-solving and communication skills
  • Proven track record of building and implementing machine learning solutions
  • Experience in leading cross-functional, highly complex Data Science projects
  • Familiar with various Machine Learning algorithms and Statistical methods.
  • Strong coding knowledge in Python or other common languages used in ML.
  • Have a passion for working on big data and professional experience in data mining, statistical analysis, predictive modelling and data manipulation.
  • Ability to deal with large amount of data and fluency with SQL or SQL-like tools.  
  • Financial services or eCommerce experience a big plus

Key Skills

About Company

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