Job Description
Role: ERP Data Solution Architect
Location: Houston, TX
Duration: Long term
Rate: $70/hr on C2C | $55/hr W2
Description:
Must have hands on experience on executing End-To-End Data Analytics project. Preferably in predictive analysis.
Must have worked on at least one prevalent data platform. Preferably on Hadoop.
Strong RDBMS knowledge. Should have worked on at least one No-SQL database.
Strong programming background. Strong work experience on couple of languages. R, Python, SQL, C++, Java, C#, Scala
Have exposure to ML algorithm. Logistic regression, Naive Bayes, SVM, decision trees, EM, clustering, deep neural network, sequence models (RNNs), reinforcement learning
Exposure to at least one of the ML packages/Framework. Pandas, Numpy, Scikit-learn, TensorFlow, Keras, PyTorch etc.
Exposure to at least one web framework. Django, Flask, Tornado, Dash etc.
Must have worked in SCRUM/Agile methodology.
Responsibility:
Evaluate different platforms and help choosing an appropriate architecture for the product.
Identify the problem/gap item, covert into requirement, come up with the right solution.
Help team to build scalable framework for future requirements.
Design and develop independent components for the data acquisition and orchestration.
Interact with customer to understand the requirement and implement.
Define project goals, formulate problem, provide industry knowledge and business insight of dataset.
Lead the team to resolve the issues and set the best practices.
Qualifications null Additional Information
All your information will be kept confidential according to EEO guidelines.