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