Software Engineer - Data Science

Pre-requisites: Bachelor's degree (BS or equivalent) in a quantitative field (e.g. Mathematics, Statistics, Engineering, Physics, Econometrics, Computer Science) 3+ years of hands on experience in writing high performing code with exposure to multi-threading, distributed computing, scalability, redundancy, and code optimization. Hands on experience in machine learning, developing algorithms, data modeling, investigating patterns of data and data visualization Having handled greater than 1 TB of structured, unstructured or semi-structured data, is a plus. Strong academic and technical background in a quantitative discipline and a good track record of applying advanced classes of models to difficult problems Strong written and verbal English communication skills Self-motivated, persistent and "Never Give Up" attitude Passion for innovation and adaptability to a lean startup culture Comfortable with ambiguity and enjoys the challenge of creating new solutions for difficult big data problems and able to deal with very large and incomplete data sets Good appreciation for design thinking and strong data visualization skills Able to work with minimal supervision, independently and / or as a member of a team Job Description Information retrieval or acquisition of new data sets, parsing the data sets, filtering, curating and organizing large volumes of data through use of tools and other automated means Mining for data patterns in very large data sets and representing data visually Interacting with data dynamically and analyzing data using variety of tools or by building custom tools Building and deploying state-of-the-art, data-driven predictive models and algorithms to solve analytical problems Building search indexes and relevance tuning algorithms Internet Search Data mining for patterns or statistics Insights will guide product direction Technical skill set Strong programming background in either C++/Java programming languages with work experience. Programming experience in relational platforms like SQL and non-relational technologies like Hadoop, Map Reduce, Hive, Mahout and Pig Experience in information retrieval libraries like Lucene/Solr