Senior Data Scientist: Develop Intelligent Risk Models

6 days ago


Palo Alto, California, United States S.T.E.P. Full time
About S.T.E.P.\

S.T.E.P. is a mobile-first financial services company that aims to improve the financial future of the next generation. We have raised over $175 million in funding and have a strong focus on innovation and customer satisfaction.


Job Summary\

We are seeking a Senior Machine Learning Engineer to join our team and contribute to building and deploying machine learning models for risk and fraud detection systems. The ideal candidate will have significant experience in machine learning engineering and data science, as well as a strong understanding of risk and fraud prevention.


Responsibilities\
  • \
  • Develop and deploy machine learning models using SQL and Python.\
  • Collaborate with operations teams to respond to emerging events.\
  • Evaluate model performance and make data-driven decisions.\
  • Communicate effectively with both technical and non-technical stakeholders.\
  • Maintain accurate and detailed documentation of project progress.\
    • Requirements\

To be successful in this role, you will need:

\
  • \
  • 5+ years of experience in data science or ML engineering.\
  • A graduate degree in statistics, economics, applied mathematics, computer science, physical sciences, or a similar technical field.\
  • Proficiency in SQL and Python.\
  • Ability to communicate clearly with both technical and non-technical audiences.\
  • Excellent data analysis skills.\
  • Experience developing and deploying machine learning models.\
  • Experience in working in financial systems, including lending or risk/fraud (not required).\


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