Data Science Director

Data Science Director Jobs

What does a Data Science Director Do?

Establishes, plans, and administers the overall policies and goals of the data science function. Provides strategic guidance and overall direction for analytical efforts. Determines the appropriate tools, techniques, staffing and methodologies to extract data that produces meaningful results. Uses extensive knowledge and research into big data tools to guide the integration of new and existing tools into the organization's data science tech stack. Typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to top management. Manages a dep ... artmental sub-function within a broader departmental function. Creates functional strategies and specific objectives for the sub-function and develops budgets/policies/procedures to support the functional infrastructure. Typically requires 5+ years of managerial experience. Deep knowledge of the managed sub-function and solid knowledge of the overall departmental function. More
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Data Science Director at JPMC Candidate Experience page

Plano, TX | Full Time
$182k-215k (estimate)
3 Weeks Ago
Intelligent Systems, Data and Analytics (ISDA) in Corporate Technology (CT) is a centralized global team responsible for leveraging Artificial Intelligence and Machine Learning to maximize the business value of the data consumed and produced by CT and  our Corporate Function Partners. The ISDA team’s mission is to utilize large-scale computation, true large-scale data set, and apply machine-learning to our most critical products. As an Data Scien...

Data Science Director at JPMorgan Chase

Plano, TX | Full Time
$182k-215k (estimate)
3 Weeks Ago
Intelligent Systems, Data and Analytics (ISDA) in Corporate Technology (CT) is a centralized global team responsible for leveraging Artificial Intelligence and Machine Learning to maximize the business value of the data consumed and produced by CT and  our Corporate Function Partners. The ISDA team’s mission is to utilize large-scale computation, true large-scale data set, and apply machine-learning to our most critical products. As an Data Scien...
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