• own end-to-end business problems and metrics, 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.

you should apply If you have:

• 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 modeling/inference, information retrieval, data mining, NLP