As leader of the AI modeling team the primary role is research and create modeling solutions that drive product and organizational improvement though AI. Develop and manage hypothesis to modeling solutions though a team by leading and doing as well. Understating and learn from various modeling techniques and approaches. Proven ability to fail and lead success from those failures.
Job Responsibilities:
Works on data and business problems to drive improved business results through designing, building, and partnering to implement models.
Uses best practices to develop statistical, machine learning techniques to build models that address business needs.
Uses and learns a wide variety of tools and languages to achieve results (e.g., C++, Python, Hadoop).
Identifies languages and tools that can bring efficiencies or needed techniques to the team.
Collaborates the with team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling.
Qualifications:
5-7 yrs’ Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
Experience in managing and manipulating large, complex datasets ideally relating to NLP.
Ability to code and develop models in languages such as Python, Perl, Java, C.
Knowledge of advanced modeling techniques.
Ability to analyze and interpret complex concepts
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Master’s or PhD preferred in a quantitative field such as statistics, mathematics, computer science, finance, or economics
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