Job Description :
Minimum of 10+ years of experience in applied data science and programming in one or more of the following industries:
Financial Services, Healthcare, Retail, ecommerce, Consumer Packaged Goods, Oil & Gas, Telecommunications or Manufacturing
Statistical modeling (Lease Squares & Logistic Regression, GLM, Segmentation, Clustering, Dynamic Bayesian Networks, etc
Machine Learning (Neural Networks, Random Forests, Support Vector Machines, etc
Statistical analysis software (Python, R, Spark MLlib, PySpark, SparkR, SAP Predictive Analytics, MATLAB, SAS, SPSS, etc
SQL Programming experience in a relational database environment (Oracle, MS SQL Server, Teradata environment); Knowledge about in-memory architectures (SAP HANA, MemSQL, Gigaspaces
Data Science visualization tools (R Shiny, Tableau, Qlikview, SAP Lumira, etc as well as traditional Reporting/BI tools (Business Objects, MicroStrategy, Cognos, etc
Relational (SQL) and non-relational databases (Hadoop, Cassandra, etc
Ability to quickly learn and apply new tools as needed
Our ideal candidate would have Strong Big Data skills but also understand data science overall—understand and know how statistical/machine learning models can be built natively on the Hadoop environment using Spark (python, Microsoft R Server, SparkR, SparkML People that have both sets of skills are critical to our success
He/she will be good at translating complex technical concepts into actionable tactical and strategic insights and communicating them persuasively to our internal teams and managers as well as clients and partners.
Strong background in Big Data and Advanced Predictive Analytics including an exposure to areas such as Artificial Intelligence, Deep Learning, Intelligent Bots, Reinforcement Learning, Neural Networks.
Strong consulting experience (e.g. with a Big 4) with demonstrated success related with delivering client data science engagements.
Able to demonstrate advanced computing and analytical skills with particular knowledge and understanding of the following areas:
Desired Skills:
Familiarity with the Apache Hadoop ecosystem.
Familiarity with cloud computing technologies.
Experience working in the intelligence community and using data to inform intelligence.
Experience with version control platforms (git, svn, etc