12 general skills or competencies (Job family competencies) for Top Data Scientist
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)
Enters large amounts of data and reports into big data analytics tools.
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Level 3 Behaviors
(Moderate Experience)
Partners with senior management to deliver key analytic solutions using big data.
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Level 4 Behaviors
(Extensive Experience)
Interprets results of big data analytics research report to forecast product volume and supply in various regions.
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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 Top Data Scientist
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.
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Level 2 Behaviors
(Light Experience)
Collects and compiles competitor information for competitive analysis.
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Level 3 Behaviors
(Moderate Experience)
Communicates financial insights that positively influence the business plan development process.
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Level 4 Behaviors
(Extensive Experience)
Evaluates and explains the financial aspects of a business initiative to different teams.
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Level 5 Behaviors
(Mastery)
Champions organizational change and digital transformation to drive higher business performance.
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Skill definition-The process of acquiring, developing, leveraging and retaining a high-performance workforce to realize organizational goals.
Level 1 Behaviors
(General Familiarity)
Explains the influence of business strategy on talent strategy.
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Level 2 Behaviors
(Light Experience)
Compiles internal and external data to support workforce planning initiatives.
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Level 3 Behaviors
(Moderate Experience)
Makes recommendations and presentations to senior management regarding new talent management programs and strategic directions.
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Level 4 Behaviors
(Extensive Experience)
Develops various learning and development programs to drive up-skill and re-skill efforts.
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Level 5 Behaviors
(Mastery)
Defines, refines, and aligns talent management strategy to reflect and support business objectives.
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Summary of Top Data Scientist skills and competencies
There are 0 hard skills for Top Data Scientist.
12 general skills for Top Data Scientist, Big Data Analytics, Business Intelligence, Business Strategy, etc.
11 soft skills for Top Data Scientist, Business Acumen, Talent Management, Organizational Leadership, etc.
While the list totals 23 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 Top Data Scientist, he or she needs to be skilled in Business Acumen, be skilled in Talent Management, and be skilled in Organizational Leadership.