Skills & Competencies for Data Scientist V

Data Scientist V job profile

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JOB SUMMARY for Data Scientist V

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

JOB RESPONSIBILITIES for Data Scientist V

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 V SALARY RANGE

BASE 50%
$177,682
TOTAL 50%
$197,135
Job Level
P05
Job Code
IT10000549
Education/Degree
Master's Degree or MBA
Reports To
Manager or Head of a Unit/Department

Data Scientist V 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 V 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 V

1 Job Family Competencies – Big Data Analytics
Proficiency Level -5
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)
Cites examples of the different methods used in big data analytics.
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Level 2 Behaviors
(Light Experience)
Assists in extracting, reviewing, and outlining relevant data from systems.
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Level 3 Behaviors
(Moderate Experience)
Consults on the application of big data models and analytics tools to support the development of innovative solutions.
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Level 4 Behaviors
(Extensive Experience)
Delivers actionable insight and highly informative measurements for big data analytics.
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Level 5 Behaviors
(Mastery)
Champions the adoption of advanced software to support the management and processing of data sets.
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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)
Compiles a list of the basic processes to navigate business intelligence dashboards and tools.
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Level 2 Behaviors
(Light Experience)
Assists in developing enterprise business intelligence applications to collect large amounts of data.
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Level 3 Behaviors
(Moderate Experience)
Implements complex analysis solutions to support the business intelligence environment.
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Level 4 Behaviors
(Extensive Experience)
Aligns the business capability requirements to the business intelligence and data strategy roadmaps.
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Level 5 Behaviors
(Mastery)
Champions the adoption of advanced business intelligence tools to promote the data dissemination process.
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3 Data Scientist V - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Scientist V
Proficiency Level - 4
5 Competency for - Data Scientist V
Proficiency Level - 5

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

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)
Describes how our business makes money and our key business objectives.
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Level 2 Behaviors
(Light Experience)
Assists in designing business models and operating plans.
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Level 3 Behaviors
(Moderate Experience)
Analyses the business impact of demographic changes; suggests effective responses.
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Level 4 Behaviors
(Extensive Experience)
Consults on the selection and adjustment of the go-to-market strategy.
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Level 5 Behaviors
(Mastery)
Builds a mentoring model to ensure a continuous increase of business sense within our business.
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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)
Describes the basics of predictive model techniques.
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Level 2 Behaviors
(Light Experience)
Applies appropriate statistical tools to test and validate all assumptions.
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Level 3 Behaviors
(Moderate Experience)
Contributes to the development of multiple models to predict future behavioral outcomes.
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Level 4 Behaviors
(Extensive Experience)
Develops data analysis strategy and predictive models for various functions or measurements.
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Level 5 Behaviors
(Mastery)
Adopts advanced techniques for evaluating the quality and relevance of data used in predictive models.
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3 Data Scientist V - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Scientist V
Proficiency Level - 4
5 Competency for - Data Scientist V
Proficiency Level - 5

Summary of Data Scientist V skills and competencies

There are 0 hard skills for Data Scientist V.
17 general skills for Data Scientist V, Big Data Analytics, Business Intelligence, Data Analytics, etc.
8 soft skills for Data Scientist V, 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 V, 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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