10 general skills or competencies (Job family competencies) for Data Science Director
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.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Enters large amounts of data and reports into big data analytics tools.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Partners with senior management to deliver key analytic solutions using big data.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Interprets results of big data analytics research report to forecast product volume and supply in various regions.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Creates the latest trends in big data analytics to constantly gauge customer needs and create new products.
See 4 More Skill Behaviors
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.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
See 4 More Skill Behaviors
10 soft skills or competencies (core competencies) for Data Science Director
Skill definition-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Describes the market conditions that impact the business.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Collects and compiles competitor information for competitive analysis.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Communicates financial insights that positively influence the business plan development process.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Evaluates and explains the financial aspects of a business initiative to different teams.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Champions organizational change and digital transformation to drive higher business performance.
See 4 More Skill Behaviors
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.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Applies the guidelines for conducting advice practices to help the continuous improvement of the business.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Participates in the development of new procedures for delivering technology advising services.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Drafts the guidelines for addressing issues on technology advising processes.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Advocates for new tools and methods to innovate the process of our technology advising operations.
See 4 More Skill Behaviors
Summary of Data Science Director skills and competencies
There are 0 hard skills for Data Science Director.
10 general skills for Data Science Director, Big Data Analytics, Business Intelligence, Data Analytics, etc.
10 soft skills for Data Science Director, Business Acumen, Technology Advising, Planning and Organizing, etc.
While the list totals 20 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 Director, he or she needs to be skilled in Business Acumen, be skilled in Technology Advising, and be an expert in Planning and Organizing.