Description:

　　Candidates in this role should be knowledgeable in data mining, data science, data analytics, data strategy/engineering and should be able to assist with designing high impact solutions and provide direction where needed. The role will have the opportunity to work with subject matter experts across many levels of the organization.

　　Required Skills:

　　Candidate must possess a degree in mathematics, statistics, computer science or related technical field

　　Strong background in hypothesis testing, regression analysis, statistics, or probability, as well as experience creating predictive analytics and predictive modeling methods including simulation

　　-Hands on experience with deep learning architectures using open source languages like Python, PySpark, PyTorch

　　Hands on experience with deep learning toolkits such as Tensorflow, Keras, Pytorch

　　Understanding of the Hadoop platform (e.g. MapReduce, Hive, Impala, Spark, Flume, Kafka) and related Big Data technologies

　　Knowledge of R or SAS

　　Fluency with SQL on one or more relational databases such as Microsoft SQL Server, MySQL, Postgres or Oracle

　　Proficient written and oral communication skills with stakeholders of varying analytics skill and knowledge levels

　　Experience with model governance requirements. Able to de-mystify AI/Client models to make them transparent and explainable

　　Model risk management experience and knowledge of the MDLC

　　Hands on experience writing data processing, data pipeline, and data models to drive information visualization and transparency

　　Desired Skills:

　　An advanced degree in Engineering, mathematics, statistics, computer science or related technical field.

　　Background in text analytics, news aggregation and natural language processing

　　Creative research techniques that yield innovative results

　　Six Sigma Master Black Belt or Six Sigma Black Belt certified (or equivalent)

　　Strong facilitation and agile project management methodologies for data science

　　Proven ability to think strategically and execute tactically

　　As an equal opportunity employer, ICONMA prides itself on creating an employment environment that supports and encourages the abilities of all persons regardless of race, color, gender, age, sexual orientation, citizenship, or disability.