November 29
• Uses advanced analytical algorithms and technologies to mine and analyze large sets of structured and unstructured data • Designs and constructs new processes for modeling data • Develops predictive models and leverages big data technology to design solutions • Collaborates with other data and analytics professionals and teams • Plays an active role in the futuristic display of data • Uses data mining and extracting usable data from valuable data sources • Conducts large-scale analysis of information to discover patterns and trends • Provides recommendations and advice for business leaders • Develops prediction systems and machine learning algorithms • Investigates additional technologies and tools for developing innovative data solutions • Collaborates to understand and provide data-driven decision making
• Foundational level of proficiency: Deep learning • Machine learning • Trust, bias and ethics • Creative thinking • Critical thinking • Intermediate level of proficiency: Mathematics, statistics & operations research • Big data • Data visualization • Computational thinking and programming • Data wrangling • Data preprocessing • Complex problem solving • Analytical acumen • Creative reasoning • Verbal & written communication skills • Collaboration & team skills • Analytical and problem solving skills • Influence skills • Data driven decision making
• Health insurance • Tuition reimbursement • Accident and life insurance • Retirement savings plans
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