Skills & Competencies for Data Scientist III

Data Scientist III job profile

JOB SUMMARY for Data Scientist III

Identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights.

JOB RESPONSIBILITIES for Data Scientist III

Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Designs, develops, and implements the most valuable data-driven solutions for the organization.

Data Scientist III SALARY RANGE

BASE 50%
$118,898
TOTAL 50%
$127,038
Job Level
P03
Job Code
IT10000548
Education/Degree
Master's Degree or MBA
Reports To
Manager

Data Scientist III 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 Scientist III skill and competencie below to view definitions.

18 general skills or competencies (Job family competencies) for Data Scientist III

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

7 soft skills or competencies (core competencies) for Data Scientist III

1 Core Competencies – Business Acumen
Proficiency Level -2
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 – Predictive Analytics
Proficiency Level -3
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)
Explains the importance of predictive analytics as a decision-making tool for the business.
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Level 2 Behaviors
(Light Experience)
Identifies the strengths and weaknesses of various algorithms used in predictive analytics.
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Level 3 Behaviors
(Moderate Experience)
Uses statistical models to predict data patterns and identify risks and opportunities.
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Level 4 Behaviors
(Extensive Experience)
Provides subject matter expertise in validating models and interpreting metrics.
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Level 5 Behaviors
(Mastery)
Leads predictive analytics modeling tasks to advance interests and improve operations of our business.
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3 Data Scientist III - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Scientist III
Proficiency Level - 4
5 Competency for - Data Scientist III
Proficiency Level - 5

Summary of Data Scientist III skills and competencies

There are 0 hard skills for Data Scientist III.
18 general skills for Data Scientist III, Big Data Analytics, Business Intelligence, Data Analytics, etc.
7 soft skills for Data Scientist III, Business Acumen, Predictive Analytics, Critical Thinking, etc.
While the list totals 25 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 III, he or she needs to be proficient in Business Acumen, be skilled in Predictive Analytics, and be skilled in Critical Thinking.

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