Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights.
Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Designs, develops, and implements the most valuable data-driven solutions for the organization.
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.
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.
Level 2 Behaviors
(Light Experience)
Assists in extracting, reviewing, and outlining relevant data from systems.
Level 3 Behaviors
(Moderate Experience)
Consults on the application of big data models and analytics tools to support the development of innovative solutions.
Level 4 Behaviors
(Extensive Experience)
Delivers actionable insight and highly informative measurements for big data analytics.
Level 5 Behaviors
(Mastery)
Champions the adoption of advanced software to support the management and processing of data sets.
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.
Level 2 Behaviors
(Light Experience)
Assists in developing enterprise business intelligence applications to collect large amounts of data.
Level 3 Behaviors
(Moderate Experience)
Implements complex analysis solutions to support the business intelligence environment.
Level 4 Behaviors
(Extensive Experience)
Aligns the business capability requirements to the business intelligence and data strategy roadmaps.
Level 5 Behaviors
(Mastery)
Champions the adoption of advanced business intelligence tools to promote the data dissemination process.
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.
Level 2 Behaviors
(Light Experience)
Collects and compiles competitor information for competitive analysis.
Level 3 Behaviors
(Moderate Experience)
Communicates financial insights that positively influence the business plan development process.
Level 4 Behaviors
(Extensive Experience)
Evaluates and explains the financial aspects of a business initiative to different teams.
Level 5 Behaviors
(Mastery)
Champions organizational change and digital transformation to drive higher business performance.
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.
Level 2 Behaviors
(Light Experience)
Assists in creating and validating predictive models.
Level 3 Behaviors
(Moderate Experience)
Performs complex calculations and meaningful ratios for accurate analytics.
Level 4 Behaviors
(Extensive Experience)
Directs predictive techniques to increase organizational success and decrease operational failures.
Level 5 Behaviors
(Mastery)
Develops predictive models to determine and draw up predictions about future industry trends.
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.
