Our ideal candidate will possess strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how our organization approaches a business challenge. The Data Science Director will not just address business problems; instead will be responsible for selecting the right problems that have the most value to the organization.
Responsibilities
Lead a team of data scientists who undertake multiple client engagements
In collaboration with the product management and engineering teams, identify opportunities to leverage data science techniques in order to create new or improve existing products
Advocate the use and potential of data science within the organization and in particular the executive, product management and engineering teams
Qualifications
10+ years of experience with applied machine learning
Strong statistical background and experience with R or other statistical packages
Strong foundation in coding skills relevant for data science, e.g., Pig, Hive, SQL, Python, etc.
Strong expertise in building and applying statistical/mathematical methods, machine learning / predictive modelling in real-world use cases
Track record of successfully managing a diverse team of highly skilled individuals.
Strong ability to build collaborative partnerships with a wide variety of internal and external stakeholders.
PhD in a quantitative field (e.g., computer science, physics, engineering, mathematics, etc.)
Must be inquisitive and can stare data and spot trends
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