Design Brief below contains the Personas, Color Palette, and Wireframes in the respective order.

Personas Section:

Persona #1

Persona Type and Job Title of Persona: Technical Hiring Manager

Average Base Pay: $145,000/yr.

Technical Comfort: Almost always the go-to person for technical questions on the team they manage. They know all the ins and outs of the data science field.

Experience and Age: Typically have at least 2-5 years of experience before so can be anywhere starting from 24 years old onwards (starting after 2 years minimum upon completion of bachelors).

Back Story:

Usually have a bachelor’s degree in Computer Science or a related field
May or may not have a masters degree in Data Science
Have worked at the company for usually a couple years as a Data Scientist or Software Engineer before getting promoted
Manages technical team that the applicant joins if given an offer
May or may not be assessing your technical knowledge, if not then they will have a separate interview for you to meet the team and see if you are a good fit for them

Motivations:

Applicant with good grasp of data structures and algorithms knowledge
Applicant with good grasp of statistics and statistical analysis
Applicant with certifications in Data Science
Applicant who asks specific questions when confused
Simplicity and efficiency

Frustrations:

Applicant with lack of SQL and Python knowledge
Applicant with lack of Open Source Framework knowledge
Applicant lazy or scared to ask for help
Overcomplexity
Inability for applicant to problem solve on the fly

Their Ideal Candidate for the Job:

Good coding skills and good data structures and algorithms knowledge
Great statistics skills to apply to modeling
Willing to be flexible and work on different teams
Great communication and soft skills

Persona #2

Persona Type and Job Title of Persona: HR Recruiter

Average Base Pay for Role Applying: $45,984

Technical Comfort: Is part of the Human Resources department so does not have the direct technical knowledge that an engineer or hiring manager would.

Experience and Age: Usually no experience needed so can be anywhere from 22 years old onwards (starting after completion of bachelors).

Back Story:

No specific major is common because there is no recruiting major so they usually come from any major with the most popular ones being marketing, psychology, business, and human resources
The one that will be asking you the behavioral questions in the behavioral interview
Will not be assessing your technical skills
The one that may do your initial phone interview to learn more about the company and ask you some questions

Motivations:

Applicant who is a kind person
Applicant who shows interest in the company
Good communication skills
Diverse applicant
Professional applicant

Frustrations:

Rude applicant
Lack of professionalism in applicant
Applicant seems to not be motivated for the position or applying to just get a job

Their Ideal Candidate for the Job:

Overall a person they would want to work with
Great personality
Seems like the applicant would be great on the team they are applying for
Shows interest in company

Persona #3

Persona Type and Job Title of Persona: Data Scientist/Engineer

Average Base Pay: $113,309/yr.

Technical Comfort: Has a great amount of technical knowledge as has cleared this same technical interview not too long ago.

Age and Experience: Same job that applicant is applying for so technically no experience needed; thus, they can be anywhere from 22 years old onwards (starting after completion of bachelors).

Back Story:

Usually majored in computer science or a related field
Not uncommon to see a masters degree in data science or a related field
Will be directly assessing your technical skills through either coding or data modeling problem
Interviews you after initial screening with HR
Willing to answer any questions about their process interviewing at the company not too long ago for the same role as applicant
Usually applicant goes through rounds(usually 2-4) of these interviews back to back on a given day

Motivations:

Applicant who can design and execute clean and efficient code
Applicant who explains in detail their thought process for the problem
Applicant with great data structures and algorithms knowledge
Simplicity

Frustrations:

Applicant who does not understand the coding problem even with hints
Applicant who codes in complete silence
Applicant who does not consider edge cases
Applicant who lies on resume about their familiarity with certain languages

Their Ideal Candidate for the Job:

A technically strong applicant
Seem like a person they would want to work with

References for Personas:

Cracking the Data Science Interview

https://www.kdnuggets.com/2019/01/cracking-data-scientist-interview.html

Preparation Guide for Data Science Interviews

https://towardsdatascience.com/preparation-guide-for-data-science-interviews-69932d30c7c4

Data Scientist Salaries

https://www.glassdoor.com/Salaries/data-scientist-salary-SRCH_KO0,14.htm

Data Science Manager Salaries

https://www.linkedin.com/salary/data-science-manager-salaries-in-united-states

How to Get Into Recruitment with No Experience

hrtalentiq.com/get-into-recruitment/

Technical Recruiter Salaries

https://www.glassdoor.com/Salaries/technical-recruiter-salary-SRCH_KO0,19.htm

Google Diversity Annual Report

https://kstatic.googleusercontent.com/files/25badfc6b6d1b33f3b87372ff7545d79261520d821e6ee9a82c4ab2de42a01216be2156bc5a60ae3337ffe7176d90b8b2b3000891ac6e516a650ecebf0e3f866