Skills & Competencies for Data Scientist I

Data Scientist I job profile

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JOB SUMMARY for Data Scientist I

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

JOB RESPONSIBILITIES for Data Scientist I

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 I SALARY RANGE

BASE 50%
$77,501
TOTAL 50%
$79,748
Job Level
P01
Job Code
IT10000546
Education/Degree
Master's Degree or MBA
Reports To
Manager

Data Scientist I 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 I 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 I

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)
Discusses the lifecycle phases 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)
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 -2
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 Data Scientist I - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Scientist I
Proficiency Level - 4
5 Competency for - Data Scientist I
Proficiency Level - 5

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

1 Core Competencies – Business Acumen
Proficiency Level -1
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)
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)
Differentiates between predictive analytics and machine learning.
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Level 2 Behaviors
(Light Experience)
Collects data from specific sources to support data processing in predictive analytics.
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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)
Monitors performance to ensure accuracy and relevance of predictions in driving organizational growth.
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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 I - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Scientist I
Proficiency Level - 4
5 Competency for - Data Scientist I
Proficiency Level - 5

Summary of Data Scientist I skills and competencies

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

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