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