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%
$79,494
TOTAL 50%
$81,797
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)
Explains the importance and function of big data analytics.
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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)
Leads the selection and implementation of big data platform technologies.
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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 functions of existing and emerging data and business intelligence platforms.
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Level 2 Behaviors
(Light Experience)
Gathers business intelligence data to make informed conclusions on business practices.
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Level 3 Behaviors
(Moderate Experience)
Produces a user manual for the business intelligence system to assist stakeholders with proper data navigation.
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Level 4 Behaviors
(Extensive Experience)
Manages the overall data transformation from multiple sources into actionable business intelligence.
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Level 5 Behaviors
(Mastery)
Designs a new strategy for business intelligence insights to support our business's objectives.
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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)
Explains our key business strategies and priorities.
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Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
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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)
Explains the importance of predictive analytics as a decision-making tool for the business.
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Level 2 Behaviors
(Light Experience)
Identifies the strengths and weaknesses of various algorithms used in predictive analytics.
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Level 3 Behaviors
(Moderate Experience)
Utilizes various statistics and modeling techniques in assessing future business performances.
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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 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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