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)
Lists commonly used analytic tools, techniques, and methods.
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Level 2 Behaviors
(Light Experience)
Selects the appropriate tools and methods to analyze big data collected from specific sources.
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Level 3 Behaviors
(Moderate Experience)
Supervises the design and implementation of advanced big data analytics concepts and projects.
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Level 4 Behaviors
(Extensive Experience)
Oversees the collection, storage, and interpretation of data big data analytics platform.
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Level 5 Behaviors
(Mastery)
Oversees the big data analytics pipeline development to optimize the entire process.
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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)
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 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)
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)
Implements effective marketing strategies that achieve improved business outcomes.
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Level 4 Behaviors
(Extensive Experience)
Optimizes business processes based on deep insight into various business unit functions.
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Level 5 Behaviors
(Mastery)
Evaluates industry and market trends to identify new business opportunities.
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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 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)
Demonstrates a proactive mindset in analyzing the probability of historical data for future trends.
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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)
Champions adoption of new predictive analytics tools to optimize key decisions for our business.
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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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