Sr. Applied Scientist, WWOS Tech

About the role

We actively recruit people from diverse backgrounds to build a supportive and inclusive workplace. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life.

What you'll do

• Own KPIs that measure theft/fraud management performance and efficiencies
• Perform end to end evaluation of operational defects, system gaps, and scaling challenges (both system and operational)
• Contribute to the overall fraud management and product development strategies
• Present key learnings and vision to stakeholders and leadership
• Integrate ML detection models via software applications

What you need

• 6–11 yrs of experience
• Machine learning
• Python
• Deep learning
• C++
• Java
• Statistics
• PhD or B.Tech or B.E.

Good to have

• Scikit-learn
• Spark
• R
• TensorFlow
• NumPy
• Hadoop