Sr. Data Scientist
18 hours ago
Dublin, OH
Fulltime (Permanent)
(Day 1 On-Site)
Job Description:
- 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.
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