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Responsible for the development of the data science platform & service capabilities that enable and leverage modern data science capabilities.
The ideal candidate will utilize a blend of contemporary and traditional data science techniques, applied to both structured and unstructured data sets. This candidate will develop big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives. Software developers design, code, test, debug and document programs as well as maintain corporate systems architecture. They will proactively work with business executives and various teams across the bank in order to provide advanced analytic data modeling systems and will be responsible for consistently identifying and monitoring key business risks and realizing the data needs of the business.
Phoenix Data Science and AI Software Engineering is responsible for the development and support of the Data Science/ AI Platform under Chief Data Office (CDO). This involves designing and development of applications, model deployment and platform components that comprise our backend. In this role you have the opportunity to leverage your technical skills in systems management, software development, platform engineering and database skills to provide best- practices and guidance to the new platform we are launching. Responsibilities include but are not limited to:
Design and implement a scalable and high performance multi-tenant Data Science and AI Hadoop platform.
Develop Data Science and AI models and advanced analytics through the MDLC (Model Development Life Cycle) framework.
Automation of application and model deployment for production and pre-release environments.
Experience in building a multigenerational scalable platform. Experience with Cloudera/ Hadoop ecosystem in a stack build out is highly desirable
Experience working with big data and eco system (e.g. Hadoop, Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, MapReduce, S3 etc.)
Excellent written, verbal and diagramming skills. Expertise in using PowerPoint and clearly articulating findings / presenting solutions
Design and implement a microservice based application using python, Django and related frameworks.
Experience in Natural Language Processing (NLP), Linguistics, Advanced Semantic Design
Experience in data management programming such as SQL, PL-SQL, and Python as well as being familiar win the workings of motion-tracking data and time-series analyses
Experience implementing data science platforms like IBM Watson suite of products, Anaconda Enterprise, Dataiku, Domino Labs, C3 AI Suite etc.
Experience with machine learning frameworks (like Keras, Tensorflow, PyTorch) and libraries (like scikit-learn, SpaCy, NLTK, CoreNLP, Gensim)
Skilled in statistical and modeling packages such as SAS, Statistica, Matlab, R, visualization and other advanced analysis tools
Experience with probability and statistics, inclusive of machine learning, experimental design, and optimization
General job description:
Develops, enhances, debugs, supports, maintains and tests software applications that support business units or supporting functions. These application program solutions may involve diverse development platforms, software, hardware, technologies and tools. Participates in the design, development and implementation of complex applications, often using new technologies. May provide technical direction and system architecture for individual initiatives. Serves as a fully seasoned/proficient technical resource. Will not have direct reports but may lead projects and direct activities of a team related to special initiatives or operations. May have responsibility for a project and project budget. May collaborate with external programmers to coordinate delivery of software application. Routine accountability is for technical knowledge and capabilities. Works under minimal supervision, with general guidance from more seasoned consultants. Typically requires 5-7 years of experience.
Shift:1st shift (United States of America)
Hours Per Week: 40
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