Bachelor/Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or related fields
At least 1 year of experience (or research projects in lieu of industry experience) in the areas of data science, machine learning, information retrieval or natural language processing
Proficiency and demonstrable skills using statistical or machine learning programming languages and packages (Python/R etc.)
Demonstrable skills and experience using SQL or NoSQL data stores
Excellent verbal and written communication skills
Responsibilities
Our ideal candidate will:
Have an ability to mine large data sets with Cosmos, Hadoop or Spark like technologies
Transform data into innovative features/signals that can improve a machine-learning task
Build machine learning models and evaluate their quality on real life scenarios
Prototype new approaches and develop new algorithms using NLP & ML techniques
Have an ability and willingness to develop code (in C#, Python & SQL) to productionize ML techniques
Have an ability to self-learn new techniques from textbooks and research papers
Never compromise on engineering excellence and delivering quality at scale