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Data Scientist
AI-Bigdata Analytics Analysis
QP Code Q8104 NSQF Level 7
Brief Job Description
Individuals at this job are responsible for performing different elements of data science such as importing and preprocessing data, performing exploratory analysis, research and design of algorithmic models.
Personal Attributes
A data scientist needs to have excellent analytical skills, attention to detail, critical thinking and problem solving ability. S/he needs to have strong communication skills and a superior understanding of the business to work with stakeholders and decision makers across the organization.
Role Map
Technology AI-Bigdata Analytics
Job Category Analysis
Job Track Data Sciences
Roles
Data Scientist
NSQF Level: 7

Technical Competencies

Key job task/function that an individual has to perform as a part of the job. These are also known as National Occupational Standards (NOS).

15 12 Compulsory, 3 Electives
Import data as per specifications
This unit is about using a variety of techniques to import data into datasets or data frames.
Preprocess data as per specifications
This unit is about using a variety of techniques to preprocess data i.e. clean and transform the data
Perform exploratory data analysis as per specifications
This unit is about using a variety of techniques to perform exploratory analysis to describe and summarize data for internal and external clients.
Perform research and design of algorithmic models
This unit is about performing research and designing a variety of algorithmic models for internal and external clients
Apply pre-designed algorithmic models to specified use cases
This unit is about applying a variety of pre-designed algorithmic models to specified use cases for internal and external clients.
Manage your work to meet requirements
This unit is about planning and organizing your work in order to complete it to the required standards on time.
Work effectively with colleagues
This unit is about working effectively with colleagues, either in your own work group or in other work groups within your organization.
Provide information in standard formats
This unit is about providing specified data/information related to your work in templates or other standard formats.
Build and maintain relationships at the workplace
This unit is about building and maintaining constructive relationships at the workplace
Build and maintain client satisfaction
This unit is about building and maintaining satisfaction with clients
Convince others to take appropriate action in different situations
This unit is about convincing others to take appropriate action in different situations
Maintain an inclusive, environmentally sustainable workplace
The unit is about implementing and improving diversity equality and inclusion in a sustainable and environment friendly workplace
Evaluate risk of deploying algorithmic models
This unit is about evaluating the risks in deploying algorithmic models and developing mitigation measures for internal and external clients.
Evaluate business performance of algorithmic models
This unit is about evaluating the performance of deployed algorithmic models at meeting expected business outcomes
Define business outcomes and create visualizations from results of the analysis
This unit is about defining business outcomes from results of a statistical analysis and create visualizations to report them
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Supplementary Topics

Advanced topics that will help you excel in this role

Database Management Concepts Data Visualization Techniques

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