Data Scientist

Responsibilities:

• Own end-to-end business problems and metrics, and build and implement ML solutions using cutting-edge technology.
• Create scalable solutions to business problems using statistical techniques, machine learning, and NLP.
• Design, experiment, and evaluate highly innovative models for predictive learning.
• Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations.
• Establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.
• Research and implement novel machine learning and statistical approaches.
• Publish and/or talk about your work at external conferences.

Requirements:

• 2-5 years of experience in data science.
• In-depth understanding of modern machine learning techniques and their mathematical underpinnings.
• Demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.
• Strong programming skills (Python, Java, or Scala preferred).
• High proficiency in at least one of the following broad areas: machine learning, statistical modelling/inference, information retrieval, data mining, and NLP.