Data Scientist (Hybrid)

One of our clients in San Antonio, TX is looking for a Data Scientist for a long term contract. Please go over the requirement and submit your resume if you are interested. Visa Sponsorship is available for the right candidates. Data Scientist:Selecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending company's data with third party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerCreating automated anomaly detection systems and constant tracking of its performance. • Translating business requirements to Data Science solutions leveraging strong business acumen• Applying technical knowledge to architect solutions that meet business needs, AA/AI roadmaps, and contributing to architectures that enable the ability to scale to support additional modelling use cases (e.g. Azure ML, Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL, Azure EventHub/IoT Hub, etc.)• Ability to conduct data profiling, cataloguing, and data mapping for technical design using a use case-based approach that drives the construction of technical data flows• Minimum of 2+ years hands-on experience with data science, AI, and big data• Deep understanding of statistical and machine learning modeling with experience applying these modeling techniques to business problems• Machine learning using k-NN, naive bayes, decision trees, SVM experience required• Experience using data mining and statistical tools• Solid pattern recognition and predictive modelling skills• Knowledge of recommendation engines, scoring systems, A/B testing• Experience leveraging a variety of services to act as data sources such as Azure Data Lake, Azure Synapse Analytics, Azure SQL, Azure EventHub/IoT Hub, etc• Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics• Knowledge and experience with leveraging distributed techniques for training and scoring machine learning models, ideally using Azure Databricks