Skills & Competencies for Data Science Director

Data Science Director job profile

JOB SUMMARY for Data Science Director

Establishes, plans, and administers the overall policies and goals of the data science function.

JOB RESPONSIBILITIES for Data Science Director

Provides strategic guidance and overall direction for analytical efforts. Determines the appropriate tools, techniques, staffing and methodologies to extract data that produces meaningful results. Uses extensive knowledge and research into big data tools to guide the integration of new and existing tools into the organization’s data science tech stack.

Data Science Director SALARY RANGE

BASE 50%
$200,361
TOTAL 50%
$234,428
Job Level
M04
Job Code
EX05000338
Education/Degree
Master's Degree or MBA
Reports To
Top Management

Data Science Director Skills and Competencies List

Proficiency Levels and Behavioural Indicators
Salary.com identifies five increasing levels of proficiency for each skill/competency. Some jobs require only a relatively low level of proficiency in each skill/competency, while other jobs will require a more advanced level of proficiency in the same skill/competency. These levels rate the degree of proficiency (skill level, expertise) we expect the incumbent to perform in the given skill/competency for the given job. Note that we intentionally do not associate timeframes or years of experience in performing the skill/competency because that can be misleading. Proficiency levels identify what the incumbent knows and can do rather than how long they have been doing it. Also, note that the proficiency levels are cumulative, e.g., a level 4 proficiency implies the ability to perform all the behaviors at the lower levels.
Check each Data Science Director skill and competencie below to view definitions.

10 general skills or competencies (Job family competencies) for Data Science Director

1 Job Family Competencies – Big Data Analytics
Proficiency Level -3
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)
Explains the importance and function 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 selection and implementation of big data platform technologies.
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2 Job Family Competencies – Business Intelligence
Proficiency Level -3
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 functions of existing and emerging data and business intelligence platforms.
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Level 2 Behaviors
(Light Experience)
Gathers business intelligence data to make informed conclusions on business practices.
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Level 3 Behaviors
(Moderate Experience)
Produces a user manual for the business intelligence system to assist stakeholders with proper data navigation.
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Level 4 Behaviors
(Extensive Experience)
Manages the overall data transformation from multiple sources into actionable business intelligence.
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Level 5 Behaviors
(Mastery)
Designs a new strategy for business intelligence insights to support our business's objectives.
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3 Data Science Director - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Science Director
Proficiency Level - 4
5 Competency for - Data Science Director
Proficiency Level - 5

10 soft skills or competencies (core competencies) for Data Science Director

1 Core Competencies – Business Acumen
Proficiency Level -3
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)
Explains our key business strategies and priorities.
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Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
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Level 3 Behaviors
(Moderate Experience)
Evaluates supply chain efficiency with an eye toward improving shortcomings.
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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)
Designs and implements feedback loops to identify and promptly address business problems.
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2 Core Competencies – Technology Advising
Proficiency Level -4
Skill definition-Applying advisory methods to deliver solutions for internal or external clients' technology needs.
Level 1 Behaviors
(General Familiarity)
Explains a specific technology and its application.
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Level 2 Behaviors
(Light Experience)
Responds to clients' inquiries regarding technology domains in a timely and efficient manner.
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Level 3 Behaviors
(Moderate Experience)
Uses data analytics to advise improvements on technology systems.
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Level 4 Behaviors
(Extensive Experience)
Leverages technology advising to provide accurate recommendations and solutions to technology needs.
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Level 5 Behaviors
(Mastery)
Establishes the policies and standard procedures for conducting our technology advising strategies.
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3 Data Science Director - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Science Director
Proficiency Level - 4
5 Competency for - Data Science Director
Proficiency Level - 5

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.

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