18 general skills or competencies (Job family competencies) for Data Scientist I
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)
Cites examples of the different methods used in 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)
Champions the adoption of advanced software to support the management and processing of data sets.
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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)
Compiles a list of the basic processes to navigate business intelligence dashboards and tools.
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Level 2 Behaviors
(Light Experience)
Assists in developing enterprise business intelligence applications to collect large amounts of data.
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Level 3 Behaviors
(Moderate Experience)
Implements complex analysis solutions to support the business intelligence environment.
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Level 4 Behaviors
(Extensive Experience)
Aligns the business capability requirements to the business intelligence and data strategy roadmaps.
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Level 5 Behaviors
(Mastery)
Champions the adoption of advanced business intelligence tools to promote the data dissemination process.
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6 soft skills or competencies (core competencies) for Data Scientist I
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 how our business makes money and our key business objectives.
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Level 2 Behaviors
(Light Experience)
Assists in designing business models and operating plans.
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Level 3 Behaviors
(Moderate Experience)
Applies technical expertise, business sense, and product knowledge to manage the product lifecycle effectively.
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Level 4 Behaviors
(Extensive Experience)
Coordinates technical and business teams to solve complex and diverse customer problems.
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Level 5 Behaviors
(Mastery)
Builds strong business partnerships internally and externally to drive "win-win" business successes.
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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 the basics of predictive model techniques.
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Level 2 Behaviors
(Light Experience)
Applies appropriate statistical tools to test and validate all assumptions.
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Level 3 Behaviors
(Moderate Experience)
Demonstrates a proactive mindset in analyzing the probability of historical data for future trends.
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Level 4 Behaviors
(Extensive Experience)
Develops data analysis strategy and predictive models for various functions or measurements.
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Level 5 Behaviors
(Mastery)
Champions adoption of new predictive analytics tools to optimize key decisions for our business.
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Summary of Data Scientist I skills and competencies
There are 0 hard skills for Data Scientist I.
18 general skills for Data Scientist I, Big Data Analytics, Business Intelligence, Data Analytics, etc.
6 soft skills for Data Scientist I, 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 I, he or she needs to be proficient in Business Acumen, be proficient in Predictive Analytics, and be proficient in Critical Thinking.