13 general skills or competencies (Job family competencies) for Data Science Manager
Skill definition-Collecting, analyzing, and interpreting a large amount of data to uncover information to help organizations make informed business decisions.
Level 1 Behaviors
(General Familiarity)
Describes the concept, definition, and benefits of big data analytics.
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Level 2 Behaviors
(Light Experience)
Compiles report on the results of big data analytics and presents to the management.
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Level 3 Behaviors
(Moderate Experience)
Contributes to the development of tools and data models for big data analytics platforms.
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Level 4 Behaviors
(Extensive Experience)
Drives big data and predictive analytics development to optimize product performance.
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Level 5 Behaviors
(Mastery)
Creates the latest trends in big data analytics to constantly gauge customer needs and create new products.
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Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Describes the basic terminologies used in business intelligence and business analytics processes.
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Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
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Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
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Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
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Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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11 soft skills or competencies (core competencies) for Data Science Manager
Skill definition-Applying advisory methods to deliver solutions for internal or external clients' technology needs.
Level 1 Behaviors
(General Familiarity)
Compiles a list of all the traits and characteristics of effective technology advising.
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Level 2 Behaviors
(Light Experience)
Applies the guidelines for conducting advice practices to help the continuous improvement of the business.
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Level 3 Behaviors
(Moderate Experience)
Participates in the development of new procedures for delivering technology advising services.
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Level 4 Behaviors
(Extensive Experience)
Drafts the guidelines for addressing issues on technology advising processes.
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Level 5 Behaviors
(Mastery)
Advocates for new tools and methods to innovate the process of our technology advising operations.
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Skill definition-Managing and prioritizing resources and workloads by creating well-organized plans to attain organizational goals and objectives.
Level 1 Behaviors
(General Familiarity)
Compiles a list of all the traits of effective planning to help finish the assigned tasks.
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Level 2 Behaviors
(Light Experience)
Classifies assigned tasks based on the level of importance to ensure organized workload completion.
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Level 3 Behaviors
(Moderate Experience)
Defines and translates objectives into specific plans to ensure understanding of organizational goals.
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Level 4 Behaviors
(Extensive Experience)
Delivers training sessions to foster and maximize solid planning and organization capabilities.
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Level 5 Behaviors
(Mastery)
Champions the adoption of business intelligence systems to achieve planning and organization goals.
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Summary of Data Science Manager skills and competencies
There are 0 hard skills for Data Science Manager.
13 general skills for Data Science Manager, Big Data Analytics, Business Intelligence, Data Analytics, etc.
11 soft skills for Data Science Manager, Technology Advising, Planning and Organizing, Prioritization, etc.
While the list totals 24 distinct skills, it's important to note that not all are required to be mastered to the same degree. Some skills may only need a basic understanding, whereas others demand a higher level of expertise.
For instance, as a Data Science Manager, he or she needs to be skilled in Technology Advising, be skilled in Planning and Organizing, and be skilled in Prioritization.