Job Description :
6+ years of industry work experience in data scientist projects
Knowledge of distributed computing systems, e.g. Cosmos, Spark, Hadoop, and relational database management system
Build and evaluate predictive and decision models to be deployed in production systems, or for research
Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, selection of sampling criteria, generating performance definitions and variables
Conducting experiments with different types of algorithms and models, analyzing performance, to identify the best algorithms to employ.
algorithms and models, analyzing performance, to identify the best algorithms to employ.
Master’s degree or higher in Statistics/Math/Computer Science or related field
Background in applied statistical modeling on large experimental or observational data sets
Experience extracting data from a variety of sources, and a desire to expand those skills (working knowledge SQL is required, Spark is a plus)
Experience with one or more statistical or machine learning software such as R, Python, etc.
Must showcase past work through published articles/GitHub/social media