Career Building Tips From A Senior Data Scientist At Amazon

Career Building Tips From A Senior Data Scientist At Amazon

Meet a data scientist whose early interests in machine learning led him to a career fighting fraud and training algorithms at Amazon.

Interview: Amazon Sr. Applied Scientist (Machine Learning and Artificial Intelligence)

Everyone in tech is talking about Machine Learning and Artificial Intelligence. But what do they really mean? I interviewed Theo, Sr. Applied Scientist at Amazon, to understand how we got into the field, what he does day to day and how to break into the field. Below are the questions I asked. Hope this helps!

1. Tell me about yourself 00:10
2. How did you get into this field? 01:37
3. Interview process for Applied Scientists? 04:26
4. What do you do as a Sr. Applied Scientist? 07:24
5. What do you like the most/least about your role? 12:14
6. Advice for those who want to break into this field 16:04

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�� About me��
My name is Yong and I am here to help you with your Career success. In this channel, I usually talk about Career Development (FAANG, interview tips, jobsearch hacks, networking tips and more), interview people working at awesome companies and about getting an MBA (and more). I now work at Amazon as a Sr. Product Marketing Manager in the retail business. I am originally from Seoul, South Korea and moved to the US to get my MBA at UNC Kenan-Flagler Business School. When I got that job offer from Amazon, I promised myself that I would help people for their career success and here I am.

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The best way to contact me is through LinkedIn: However, if you have a specific question or a content request, please reach out to me via email that can be found in the about section of this channel.

�� Disclaimer ��
The opinions expressed in this video are those of the individuals. They do not purport
to reflect the opinions or views of any organization or its members.

Amazon Recruiter Shares His 21 Resume Writing Tips and Advice | Amazon News

Writing a resume can be a daunting task, but this Amazon recruiter is here to help! Here are his 21 personal tips to help you craft your resume. Get ahead of the game and open up the door to lots of other opportunities. Whether looking for that first job or switching careers, we’ve got your back.

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About Amazon:
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon,

Amazon Recruiter Shares His 21 Resume Writing Tips and Advice | Amazon News

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#ResumeTips #CareerAdvice #AmazonNews

The Harsh Reality of Being a Data Scientist

Data Scientist is a great role to be in but it comes with its cons. In this video, we are discussing the unglamorous side of data science. Did any of the things mentioned resonate with your experience?

My Self-Taught Data Science Journey:
How I Would Learn Data Science in 2022:
Why is Data Science Job Search Hard?

Certificates & Courses
�� Data Science Certificate ����
�� Intro to Statistics ����
⚙️ Machine Learning Specialization ����
⚡ SQL Basics for Data Science ����
�� Python for Everybody ����
�� Data Analysis with R Specialization ����

�� Google Data Analytics Certificate ����
�� Excel for Data Analysis ����
⚡ SQL Basics for Data Science ����
�� Python for Everybody ����

Coursera Plus (7-day free trial) ����


�� My YouTube Camera Gear –
⌨️ My Desk Setup –

�� The best summaries of books (Shortform) –
✍️ Where I take tech courses (Coursera Plus free trial) –

�� My website –
�� Instagram –
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Starting in Data Science:
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I’m Sundas. I’m a self-taught data scientist from a non-tech background, currently at a FAANG company. I have been in the industry for over 8 years spread across two big tech companies. On this channel, I share tips for people interested in entering data science with the goal to democratize knowledge and make complicated topics digestible for everyone. All opinions are mine!

PS. Some of the links included are affiliate links and help me keep this channel going. Thanks for the support.

Business inquiries: [email protected]

Data Scientist Interview Tips & Career Advice (Uber, ex-Amazon)

Chatting data science interviews and career with Eva, a data scientist @Uber, formerly Amazon.

Learn Data Science with a job guarantee: &utm_source=youtube &utm_campaign=mini-lessons &utm_content=datascientistinterviewtipscareeradviceuberexamazon &utm_term=data

0:25 How did you become a data scientist?
1:00 What does interview process look like?
1:45 What are some common data science questions?
3:12 What’s the best way to prepare for an interview?
4:22 What’s something you should start learning on your first job?
4:44 What should you learn from your mentor?
5:55 Any tips or advice for people trying to break into the data science industry?
6:30 How to get a job with just a bachelors degree?

#springboard #uber #amazon