Getting a Data Science Interview: Resumes & ATS & More
The no-BS course to help increase your chances of getting a data interview using real data from over 100 data scientists
Ratings 0.00 / 5.00
What You Will Learn!
- Get a recruiter to call you back
- Understand the impact and malleability of data science job titles on call backs
- Write a resume optimized for data science Application Tracking Systems (ATS)
- Use targeted strategies on Linkedin for getting a data science interview
- Recall critical facts about job hunting including timing, length, and psychology
Description
My Primary Objectives in the course will be to:
Increase the number of call backs you get for data-related roles
Explain the role of data job titles for an application tracking system (ATS) and a human recruiter
Provide an understanding of how an application tracking system (ATS) ranks data-related resumes
Show specific examples of bad and good data-role-seeking resumes
Demonstrate specific LinkedIn strategies for getting a job which I provide evidence for
My Secondary Objectives:
Give you a firsthand look at the psychology of the recruiter
Set expectations appropriately for each task in the job hunting process
Look at ways around the ATS system (i.e., strategies for targeting humans directly)
Create a fun learning environment
We will be tackling all of these using data from over 100 data scientists as well anecdotal and personal data from my own job hunting experiences. This course has taken me 2 years worth of research to create and the feedback I receive is always that there is something new to learn even from veterans in the data field. While you may be an excellent data scientist, engineer, etc. you may not know the best strategies for landing interview which is half the battle.
Who Should Attend!
- Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, and so on trying to get a data role interview.