18 general skills or competencies (Job family competencies) for Data Scientist II
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)
Discusses the lifecycle phases of big data analytics.
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Level 2 Behaviors
(Light Experience)
Gathers the department's requirements for efficient big data analytics.
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Level 3 Behaviors
(Moderate Experience)
Suggests effective approaches for big data analytics to support dashboard and report development.
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Level 4 Behaviors
(Extensive Experience)
Manages advanced and complex big data analytics based on the overall business needs.
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Level 5 Behaviors
(Mastery)
Leads the development of an information architecture framework for our data analytics platform.
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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)
Explains the data modeling and reporting concepts applicable to business Intelligence.
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Level 2 Behaviors
(Light Experience)
Collects business intelligence data to analyze our business's competitiveness.
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Level 3 Behaviors
(Moderate Experience)
Partners with the management in streamlining business intelligence and analytics tools.
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Level 4 Behaviors
(Extensive Experience)
Drives the overall data quality improvement initiatives to leverage business intelligence tools.
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Level 5 Behaviors
(Mastery)
Creates overall solutions for various complex enterprise needs in the business intelligence area.
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6 soft skills or competencies (core competencies) for Data Scientist II
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)
Discusses the strengths and weaknesses of our products and services.
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Level 2 Behaviors
(Light Experience)
Explains advantages and disadvantages of different organizational structures from an efficiency perspective.
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Level 3 Behaviors
(Moderate Experience)
Demonstrates an innate sense of how to achieve positive results in the current environment.
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Level 4 Behaviors
(Extensive Experience)
Leverages the latest technologies and tools that enhance business analytics.
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Level 5 Behaviors
(Mastery)
Conceptualizes new and creative business initiatives to boost business growth.
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Skill definition-Gathering, analyzing, and predicting patterns and structures of historical data and trends to make strategic decisions for better future outcomes.
Level 1 Behaviors
(General Familiarity)
Describes various predictive model types, including decision trees, regression, and neural networks.
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Level 2 Behaviors
(Light Experience)
Assists in creating and validating predictive models.
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Level 3 Behaviors
(Moderate Experience)
Performs complex calculations and meaningful ratios for accurate analytics.
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Level 4 Behaviors
(Extensive Experience)
Directs predictive techniques to increase organizational success and decrease operational failures.
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Level 5 Behaviors
(Mastery)
Develops predictive models to determine and draw up predictions about future industry trends.
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Summary of Data Scientist II skills and competencies
There are 0 hard skills for Data Scientist II.
18 general skills for Data Scientist II, Big Data Analytics, Business Intelligence, Data Analytics, etc.
6 soft skills for Data Scientist II, Business Acumen, Predictive Analytics, Critical Thinking, 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 Scientist II, he or she needs to be proficient in Business Acumen, be proficient in Predictive Analytics, and be skilled in Critical Thinking.