Über
Location: Dublin, OH Fulltime only Relevant Experience: 10-12 Yrs Roles & Responsibilities • 3+ years of proven Data Science experience and involvement in packaged platform delivery and management. • Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is required. • Master's degree or PhD in related field is preferred. • Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs). • Strong mathematical and statistical skills. • Experience in statistical and data mining techniques (such as boosting, generalized linear models/regression, random forests, trees, and social network analysis). • Understanding of machine learning techniques such as artificial neural networks, clustering, decision tree learning, and dimensionality reduction. • Understanding of cloud data engineering and integration concepts. • Experience with Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage, is preferred • Excellent oral and written communication skills. • Comfortable reading academic research papers and applying them in building models. • Ability to work independently and within a cross functional team environment. • Experience with DevOps Agile practices preferred. What is expected of you and others at this level • Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects. • Participates in the development of policies and procedures to achieve specific goals. • Recommends new practices, processes, metrics, or models. • Works on or may lead complex projects of large scope. • Projects may have significant and long-term impact. • Provides solutions which may set precedent. • Independently determines method for completion of new projects • Receives guidance on overall project objectives. • Acts as a mentor to less experienced colleagues.
Sprachkenntnisse
- English
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