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Senior Data Insight Architect buy in US, Free Classifieds Ads

Job Summary:




  • The Senior Data Insight Architect will be a part of the team to ensure that the data assets of an organization are supported by its information technology architecture.

  • The Senior Data Insight Architect (SDIA) is responsible for developing predictive and prescriptive analytics models, creating efficient algorithms, and innovating use of data.

  • The SDIA will work closely with the rest of the Analytics team, IT, and internal business partners to identify, evaluate, design, and implement statistical analyses and data exploration/visualization of internal and external, structured and unstructured, public and proprietary data.

  • The SDIA will work iteratively on the distributed Hadoop platform to deliver business and clinical results to stakeholders.


Responsibilities:




  • Analyzes complex business and competitive issues and discerns the implications for systems support. Identifies, defines, directs, and performs project issue analysis to resolve issues, including analysis of the technical and economic feasibility of proposed data solutions.

  • Designs projects with broad implication for the business and/or the future architecture, successfully addressing cross-technology and cross-platform issues. Selects tools and methodologies for projects. Negotiates terms and conditions with vendors.

  • Leads the organization's planning for the future of the data model and data architecture. Leads the continual redesign of the organization's data model and/or transition to a common model.

  • Proposes and leads projects required to support the development or the organization's data infrastructure needs and provides intelligence on advances in database technologies.

  • The SDIA will work at various office locations to include STL, NASH, and Austin


Desired Work Experience:




  • Demonstrated experience synthesizing and analyzing large data and making program recommendations based on that data is required, experience with healthcare data is desirable


Requirements:




  • Experience with Python and/or R is required.

  • Experience working with Tableau or similar reporting/data visualization tool is required

  • Experience with big data technologies like HDFS, Spark, Impala, HBase is required

  • Experience in using machine learning and predictive modeling techniques is required


Desired Skills/Experience:




  • Experience with machine learning algorithms such as Deep Learning (CNN, RNN, transfer learning), Ensemble learning and Reinforcement learning.

  • Experience with machine learning and numerical analysis packages such as scikit-learn, tensor-flow, Keras and scipy.

  • Experience with analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression, decision/CART trees, neural networks, time-series analysis, sentiment analysis, and topic modeling.

  • Experience with optimization algorithms such as Bayesian Optimization, Genetic Algorithm, and Particle Swarm Optimization etc.



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