Skills & Competencies for Data Scientist II

Data Scientist II job profile

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JOB SUMMARY for Data Scientist II

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

JOB RESPONSIBILITIES for Data Scientist II

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 II SALARY RANGE

BASE 50%
$97,026
TOTAL 50%
$101,969
Job Level
P02
Job Code
IT10000547
Education/Degree
Master's Degree or MBA
Reports To
Manager

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

1 Job Family Competencies – Big Data Analytics
Proficiency Level -2
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)
Describes the concept, definition, and benefits 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)
Creates the latest trends in big data analytics to constantly gauge customer needs and create new products.
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2 Job Family Competencies – Business Intelligence
Proficiency Level -2
Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Describes the basic terminologies used in business intelligence and business analytics processes.
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Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
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Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
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Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
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Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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3 Data Scientist II - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Scientist II
Proficiency Level - 4
5 Competency for - Data Scientist II
Proficiency Level - 5

6 soft skills or competencies (core competencies) for Data Scientist II

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)
Describes the market conditions that impact the business.
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Level 2 Behaviors
(Light Experience)
Collects and compiles competitor information for competitive analysis.
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Level 3 Behaviors
(Moderate Experience)
Communicates financial insights that positively influence the business plan development process.
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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)
Champions organizational change and digital transformation to drive higher business performance.
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2 Core Competencies – Predictive Analytics
Proficiency Level -2
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 various predictive model types, including decision trees, regression, and neural networks.
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Level 2 Behaviors
(Light Experience)
Assists in creating and validating predictive models.
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Level 3 Behaviors
(Moderate Experience)
Performs complex calculations and meaningful ratios for accurate analytics.
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Level 4 Behaviors
(Extensive Experience)
Directs predictive techniques to increase organizational success and decrease operational failures.
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Level 5 Behaviors
(Mastery)
Develops predictive models to determine and draw up predictions about future industry trends.
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3 Data Scientist II - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Scientist II
Proficiency Level - 4
5 Competency for - Data Scientist II
Proficiency Level - 5

Summary of Data Scientist II skills and competencies

There are 0 hard skills for Data Scientist II.
18 general skills for Data Scientist II, Big Data Analytics, Business Intelligence, Data Analytics, etc.
6 soft skills for Data Scientist II, Business Acumen, Predictive Analytics, Critical Thinking, etc.
While the list totals 24 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 II, he or she needs to be proficient in Business Acumen, be proficient in Predictive Analytics, and be skilled in Critical Thinking.

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