Skills & Competencies for Data Scientist IV

Data Scientist IV job profile

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JOB SUMMARY for Data Scientist IV

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

JOB RESPONSIBILITIES for Data Scientist IV

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 IV SALARY RANGE

BASE 50%
$145,286
TOTAL 50%
$157,696
Job Level
P04
Job Code
IT10000470
Education/Degree
Master's Degree or MBA
Reports To
Manager or Head of a Unit/Department

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

1 Job Family Competencies – Big Data Analytics
Proficiency Level -4
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)
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 Scientist IV - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Scientist IV
Proficiency Level - 4
5 Competency for - Data Scientist IV
Proficiency Level - 5

8 soft skills or competencies (core competencies) for Data Scientist IV

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)
Participates in the redesign of organizational structures to reflect business priorities.
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Level 4 Behaviors
(Extensive Experience)
Trains others on various business and operation topics.
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Level 5 Behaviors
(Mastery)
Forecasts the short-term and long-term impact of various business cases on P&L performance.
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2 Core Competencies – Predictive Analytics
Proficiency Level -4
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)
Lists various kinds of applications that use predictive analytics.
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Level 2 Behaviors
(Light Experience)
Interprets the reasons for statistical errors, misinterpretations, and false positives.
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Level 3 Behaviors
(Moderate Experience)
Works with teams in using different kinds of cross-validation to test results of predictive models.
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Level 4 Behaviors
(Extensive Experience)
Researches and lists the cases that are predicted wrongly and then learns how to improve.
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Level 5 Behaviors
(Mastery)
Stays current with the latest research on predictive analytics.
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3 Data Scientist IV - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Scientist IV
Proficiency Level - 4
5 Competency for - Data Scientist IV
Proficiency Level - 5

Summary of Data Scientist IV skills and competencies

There are 0 hard skills for Data Scientist IV.
17 general skills for Data Scientist IV, Big Data Analytics, Business Intelligence, Data Analytics, etc.
8 soft skills for Data Scientist IV, Business Acumen, Predictive Analytics, Technology Advising, 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 IV, he or she needs to be skilled in Business Acumen, be skilled in Predictive Analytics, and be skilled in Technology Advising.

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