Setup and configuration of data science software tools
7
Briefing on company's data security and privacy protocols
8
Approval: Data Security and Privacy Protocol
9
Introduction to data team members
10
Undergo basic training on company's data science methodologies
11
Briefing on ongoing data projects
12
Familiarization of company's data architecture
13
Review and execution of Non-Disclosure Agreement
14
Approval: Non-Disclosure Agreement
15
Attending initial meetings with project teams
16
Receiving first assignment
17
Setting up regular meeting schedule with supervisor
18
Approval: Initial Assignment
Getting initial logins credentials
This task involves obtaining your initial login credentials for accessing the company's systems and resources. Your login credentials will grant you access to various tools and platforms essential for performing your role as a data scientist. The desired result is to have your login credentials securely provided to you. Do you have any preferred username or password?
Setup and configuration of work-station
In order to effectively carry out your duties as a data scientist, you need to set up and configure your work-station. This involves installing the necessary software, tools, and dependencies. It is crucial to ensure that your work-station is optimized for seamless data analysis and processing. What operating system are you using for your work-station?
1
Windows
2
MacOS
3
Linux
Familiarization of company's IT policy
It is important to familiarize yourself with the company's IT policy to ensure the proper and secure use of technology resources. The IT policy outlines guidelines, best practices, and regulations related to data privacy, software usage, and network security. Have you reviewed the company's IT policy?
1
Not reviewed
2
Reviewed partially
3
Reviewed thoroughly
Approval: IT Policy
Will be submitted for approval:
Familiarization of company's IT policy
Will be submitted
Introductory briefing on company's data system
To gain a comprehensive understanding of the company's data system, it is important to receive an introductory briefing. This briefing will provide insights into the data infrastructure, storage, processing mechanisms, and data access protocols. Do you have any specific questions or areas of interest regarding the company's data system?
Setup and configuration of data science software tools
As a data scientist, it is crucial to have the necessary software tools and frameworks installed and properly configured. This ensures efficient data processing, analysis, and modeling. What data science software tools are you familiar with?
1
Python
2
R
3
SQL
4
Tableau
5
TensorFlow
Briefing on company's data security and privacy protocols
To maintain data security and privacy, the company has established protocols and guidelines. A briefing on these protocols will ensure that you understand and adhere to necessary security measures. Are you familiar with data security best practices and protocols?
1
Yes
2
Partially
3
No
Approval: Data Security and Privacy Protocol
Will be submitted for approval:
Briefing on company's data security and privacy protocols
Will be submitted
Introduction to data team members
To foster collaboration and teamwork, it is important to get acquainted with other data team members. This introduction will help you understand their roles, expertise, and ongoing projects. Have you met any data team members yet?
1
Not met anyone
2
Met few members
3
Met most members
4
Met all members
Undergo basic training on company's data science methodologies
Basic training on the company's data science methodologies will equip you with essential techniques and approaches widely used within the organization. The training aims to familiarize you with the company's data science workflow, modeling techniques, and data exploration methodologies. Have you received any prior training on data science methodologies?
1
Yes
2
Some training
3
No
Briefing on ongoing data projects
To gain an overview of the ongoing data projects, attending a briefing session is essential. This will help you understand the objectives, progress, and challenges of various projects. Additionally, it allows you to explore potential areas where you can contribute your expertise. Have you attended any briefing sessions on ongoing data projects?
1
Not attended
2
Attended few sessions
3
Attended most sessions
4
Attended all sessions
Familiarization of company's data architecture
To effectively work with the company's data, it is necessary to familiarize yourself with its underlying architecture. This includes understanding the data storage systems, databases, and integration mechanisms. Are you familiar with the company's data architecture?
1
Limited knowledge
2
Some knowledge
3
Extensive knowledge
Review and execution of Non-Disclosure Agreement
To ensure confidentiality and protection of sensitive information, every data scientist is required to review and execute a Non-Disclosure Agreement (NDA). This agreement strictly prohibits the unauthorized disclosure or sharing of company data. Have you reviewed and executed the NDA?
1
Not reviewed or executed
2
Reviewed but not executed
3
Executed
Approval: Non-Disclosure Agreement
Will be submitted for approval:
Review and execution of Non-Disclosure Agreement
Will be submitted
Attending initial meetings with project teams
Attending initial meetings with project teams is crucial to get oriented with the specific projects you will be working on. These meetings will provide insights into project goals, timelines, team dynamics, and deliverables. Have you attended any initial meetings with project teams?
1
Not attended
2
Attended few meetings
3
Attended most meetings
4
Attended all meetings
Receiving first assignment
Receiving your first assignment marks the initiation of hands-on data science work within the company. This assignment will provide you with the opportunity to apply your skills and contribute towards achieving project objectives. Have you received your first assignment yet?
1
Not received
2
Received but not started
3
Started working on it
4
Completed
Setting up regular meeting schedule with supervisor
Establishing a regular meeting schedule with your supervisor ensures effective communication, feedback, and guidance. It helps align your objectives, clarify doubts, monitor progress, and seek assistance when needed. Have you set up a regular meeting schedule with your supervisor?
