Skills & Competencies for Top Data Scientist

Top Data Scientist job profile

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JOB SUMMARY for Top Data Scientist

Develops and executes the data science vision, strategy, and capacity to support organizational long-term, short-term, and mission-critical goals.

JOB RESPONSIBILITIES for Top Data Scientist

Provides the organization with data insights, analytics, and tools to achieve business goals, foster innovation, and promote data-driven decision-making. Engages stakeholders and champions the design and development of data science initiatives. Researches and incorporates emerging technologies and methods to continuously improve analytic capabilities and enhance capacity to provide valuable results. Builds team capability with mentoring, coaching, and professional development. Possesses a deep and broad knowledge of data science, analytical concepts and methods, and business operations.

Top Data Scientist SALARY RANGE

BASE 50%
$280,528
TOTAL 50%
$345,950
Job Level
M06
Job Code
EX05000344
Education/Degree
Master's Degree or MBA
Reports To
Top Management

Top Data Scientist 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 Top Data Scientist skill and competencie below to view definitions.
JOB FAMILY COMPETENCIES CORE COMPETENCIES
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12 general skills or competencies (Job family competencies) for Top Data Scientist

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)
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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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 Top Data Scientist - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Top Data Scientist
Proficiency Level - 4
5 Competency for - Top Data Scientist
Proficiency Level - 5

11 soft skills or competencies (core competencies) for Top Data Scientist

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)
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 – Talent Management
Proficiency Level -4
Skill definition-The process of acquiring, developing, leveraging and retaining a high-performance workforce to realize organizational goals.
Level 1 Behaviors
(General Familiarity)
Identifies internal and external talent management resources and best practices.
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Level 2 Behaviors
(Light Experience)
Documents and maintains talent management policies.
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Level 3 Behaviors
(Moderate Experience)
Partners with internal leaders to develop and execute talent acquisition and management strategies.
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Level 4 Behaviors
(Extensive Experience)
Facilitates career development initiatives to support our business-wide talent management goals.
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Level 5 Behaviors
(Mastery)
Keeps abreast of current and future trends in innovative talent management approaches and tools.
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3 Top Data Scientist - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Top Data Scientist
Proficiency Level - 4
5 Competency for - Top Data Scientist
Proficiency Level - 5

Summary of Top Data Scientist skills and competencies

There are 0 hard skills for Top Data Scientist.
12 general skills for Top Data Scientist, Big Data Analytics, Business Intelligence, Business Strategy, etc.
11 soft skills for Top Data Scientist, Business Acumen, Talent Management, Organizational Leadership, etc.
While the list totals 23 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 Top Data Scientist, he or she needs to be skilled in Business Acumen, be skilled in Talent Management, and be skilled in Organizational Leadership.

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