Data Scientist 31192 - (New York, NY)

The team focuses on real-time monitoring of changing market conditions, loads on distribution servers and network outages when building high quality distribution algorithms.Analyze the efficiency of distribution algorithms and suggest innovative features and enhancements to improve qualityTake full ownership of the full software engineering life cycle, including researching infrastructure needs for adopting new technologiesQualifications3+ years of background programming in Python/R/SAS/Matlab or similar technologyKnowledge of data science and machine learning methodologiesBackground in statistical inference over time-series, unsupervised data in a professional environmentKnowledge of querying relational databases (MSSQL, Oracle, MySQL) or NoSQL (Cassandra/MongoDB)Background with distributed datastores (Hadoop/S3) or search technologies (Splunk/Solr) Apply Associated topics: clinical, clinicial, medicare, optimization, planning, problem, psychometric, residual, statistical, statistician