Skills & Competencies for Data Science Director

Data Science Director job profile

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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.
JOB FAMILY COMPETENCIES CORE COMPETENCIES
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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)
Discusses the lifecycle phases 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)
Leads the development of an information architecture framework for our data analytics platform.
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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 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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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)
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)
Evaluates and explains the financial aspects of a business initiative to different teams.
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Level 5 Behaviors
(Mastery)
Conceptualizes new and creative business initiatives to boost business growth.
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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)
Describes the key roles and responsibilities of a technical advisor.
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Level 2 Behaviors
(Light Experience)
Explains the features of a particular product or service in simple terms to the clients.
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Level 3 Behaviors
(Moderate Experience)
Provides guidance to others in advising various clients on technology solutions.
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Level 4 Behaviors
(Extensive Experience)
Evaluates emerging technologies and anticipates their potential business impacts.
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Level 5 Behaviors
(Mastery)
Develops advising materials to support our employees in dealing with technology needs.
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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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