Posted:1 month ago|
Platform:
On-site
Full Time
What You'll be doing: Locate, extract, manipulate, and organize data from operational source systems in support of analytic tool development (SQL, Python, Linux and Ansible)Create and manage SQL Server entities for use in Data Science modeling and reportingProficient usage of SQL data sources and database management like Hadoop, Oracle, and SQL serversPartner with varying levels of operations and resource management leadership to understand challenges, goals, and pain points, designing analytic solutions to address themBuild processes supporting data transformation, data structures, metadata, dependency and workload managementHelp develop and maintain code standards and repositories Requirements: 5 - 10 years' building and optimizing ‘big data’ data pipelines, architectures and data setsStrong SQL expertiseExperience working with Python and Linux.Experience working with AWS and Databricks. Understanding and experience with Natural Language Processing concepts including sentiment analysis, lexicon design, text summarization, aspect mining, topic modeling, etc.Understanding and experience with leading supervised and unsupervised machine learning methods such as Multiple Regression, Logistic Regression, Neural Networks, Deep Learning, KNN, Naive Bayes, SVM, Decision Trees, Random Forest, Gradient Boosting, and Ensemble methodsExperience with Git (or equivalent)Solution design and troubleshooting skillsAbility to extrapolate data into information to drive process improvementsAbility to quickly learn how to use new software applicationsComfortable working in projects with varying levels of ambiguity, complexity, uncertainty, and change
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