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%
$200,881
TOTAL 50%
$235,034
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)
Lists commonly used analytic tools, techniques, and methods.
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Level 2 Behaviors
(Light Experience)
Selects the appropriate tools and methods to analyze big data collected from specific sources.
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Level 3 Behaviors
(Moderate Experience)
Supervises the design and implementation of advanced big data analytics concepts and projects.
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Level 4 Behaviors
(Extensive Experience)
Oversees the collection, storage, and interpretation of data big data analytics platform.
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Level 5 Behaviors
(Mastery)
Oversees the big data analytics pipeline development to optimize the entire process.
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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)
Lists the basic features of general business intelligence systems and database structure.
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Level 2 Behaviors
(Light Experience)
Supports end-users in using business intelligence tools to query databases for outputs and data preparation.
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Level 3 Behaviors
(Moderate Experience)
Utilizes business intelligence platforms to derive insights to present the data to our business.
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Level 4 Behaviors
(Extensive Experience)
Provides technical oversight and design to support the development of business intelligence solutions.
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Level 5 Behaviors
(Mastery)
Leads the development of visual business intelligence models to utilize business intelligence tools.
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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)
Names our key stakeholders from a business value chain perspective.
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Level 2 Behaviors
(Light Experience)
Supports the planning, implementation, and management of training programs that foster process improvements.
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Level 3 Behaviors
(Moderate Experience)
Implements effective marketing strategies that achieve improved business outcomes.
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Level 4 Behaviors
(Extensive Experience)
Optimizes business processes based on deep insight into various business unit functions.
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Level 5 Behaviors
(Mastery)
Evaluates industry and market trends to identify new business opportunities.
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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)
Cites the commonly used technology advising tools in our workplace.
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Level 2 Behaviors
(Light Experience)
Advises clients regarding the products, technologies and services based on their business needs.
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Level 3 Behaviors
(Moderate Experience)
Effectively conveys technology concepts and business impacts to senior client levels.
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Level 4 Behaviors
(Extensive Experience)
Delivers training on procedures for conducting technology advising in our workplace.
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Level 5 Behaviors
(Mastery)
Adapts the latest trends in processes and computer skills relevant to technology advising.
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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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