Have an ability to mine 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 evaluating their quality on real life scenarios Prototype new approaches and develop new algorithms using ML techniques Work with other data scientists, engineers, UX experts to deliver a robust solution to the customer Have an ability to self-learn new techniques from textbooks and research papers Never compromise on engineering excellence and delivering quality at scale
- DS requires data analysis skills and coding experience in Spark and Hadoop.
- 3+ years of experience (or research projects in lieu of industry experience) in the areas of data science, machine learning, information retrieval, especially natural language processing
- Experienced with DNN, RNN or CNN Have AI, Machining learning related publications is a plus 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
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