How to Crush Data Science Interviews? #datasciencecareer

Data Science Dojo · Intermediate ·🧠 Large Language Models ·2y ago

Key Takeaways

Data Science Dojo provides tips and frameworks for acing data science interviews at top tech firms, including clarifying questions, aligning answers to the company and product, and mentioning trade-offs. The discussion highlights common patterns and reusable frameworks for data science interviews, such as the importance of understanding the company's goals and product, and being able to communicate complex ideas simply.

Full Transcript

[Music] software engineering interviews they're so regimented you can grind leap code versus data interviews they cover so much you kind of get intimidated and you're like oh I can't even study but I want to kind of dispel that no you can totally study for data science interviews there are total common patterns like how Jimmy just asked should I make this B business decision they're totally Frameworks you can keep reusing regardless the question I'll give you an example the first thing you want to do is always clarify hey oh when do you want to launches in Vietnam oh how many hotels is this the normal Motel 6 or is this some Boutique brand second thing I do always is um try to align my answers to the company and the product Oh Motel 6 is all about efficiency or it's all about serving like price sensitive customers on the bottom end it's not like a boutique hotel okay based on these you know assumptions and like what I know about Motel 6 here's my answers right and the third big thing is always mention trade-offs

Original Description

Prepping for Data Science Interviews at Top Tech Firms 🔥 Want a to ace a data scientist interview at a dream company? Watch the full panel discussion with industry experts on YouTube here! ➡️ https://youtu.be/Z6pM_uUeKwk Join LLM BootCamp and unlock the future of AI.➡️ https://hubs.la/Q02wnhlc0 Subscribe to our newsletter for data science content & infographics: https://datasciencedojo.com/newsletter/ #DataScienceCareers #CodingInterviewTips #Data #AI
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Data Science Dojo · Data Science Dojo · 0 of 60

← Previous Next →
1 Feature Engineering and Predictive Modeling | Data Analytics with R and Azure ML | Community Webinar
Feature Engineering and Predictive Modeling | Data Analytics with R and Azure ML | Community Webinar
Data Science Dojo
2 Data Exploration and Visualization | Beginning Azure ML | Part 3
Data Exploration and Visualization | Beginning Azure ML | Part 3
Data Science Dojo
3 Reading External Data Sources | Beginning Azure ML | Part 2
Reading External Data Sources | Beginning Azure ML | Part 2
Data Science Dojo
4 Importing Data, Accessing, & Creating a New Experiment | Beginning Azure ML | Part 1
Importing Data, Accessing, & Creating a New Experiment | Beginning Azure ML | Part 1
Data Science Dojo
5 Casting Columns & Renaming Columns | Beginning Azure ML | Part 4
Casting Columns & Renaming Columns | Beginning Azure ML | Part 4
Data Science Dojo
6 Scrub Missing Values & Project Columns | Beginning Azure ML | Part 5
Scrub Missing Values & Project Columns | Beginning Azure ML | Part 5
Data Science Dojo
7 Feature Engineering & R Script | Beginning Azure ML | Part 6
Feature Engineering & R Script | Beginning Azure ML | Part 6
Data Science Dojo
8 Building Your First Model | Beginning Azure ML |  Part 7
Building Your First Model | Beginning Azure ML | Part 7
Data Science Dojo
9 Run and Fine-Tune Multiple Models | Beginning Azure ML | Part 8
Run and Fine-Tune Multiple Models | Beginning Azure ML | Part 8
Data Science Dojo
10 Deploying Your First Predictive Model As a Web Service | Beginning Azure ML | Part 9
Deploying Your First Predictive Model As a Web Service | Beginning Azure ML | Part 9
Data Science Dojo
11 Using R API to Obtain Predictions From Your Web Service Beginning Azure ML | Part 10
Using R API to Obtain Predictions From Your Web Service Beginning Azure ML | Part 10
Data Science Dojo
12 Using Python API to Obtain Predictions From Your Web Service | Beginning Azure ML | Part 11
Using Python API to Obtain Predictions From Your Web Service | Beginning Azure ML | Part 11
Data Science Dojo
13 Twitter Sentiment Analysis | Natural Language Processing | Community Webinar
Twitter Sentiment Analysis | Natural Language Processing | Community Webinar
Data Science Dojo
14 Listening to the Melody of the Universe (LIGO Gravitational Waves Presentation) | Community Webinar
Listening to the Melody of the Universe (LIGO Gravitational Waves Presentation) | Community Webinar
Data Science Dojo
15 David Wechsler on the Impact of Data Science Bootcamp
David Wechsler on the Impact of Data Science Bootcamp
Data Science Dojo
16 Andrew Choi on the Impact of Data Science Bootcamp
Andrew Choi on the Impact of Data Science Bootcamp
Data Science Dojo
17 Microsoft's Software Engineer Shares Her Experience with Data Science Bootcamp
Microsoft's Software Engineer Shares Her Experience with Data Science Bootcamp
Data Science Dojo
18 Michael DAndrea on the Impact of Data Science Bootcamp
Michael DAndrea on the Impact of Data Science Bootcamp
Data Science Dojo
19 Data Driven Decision-Making with Data Science Bootcamp: Artem Kopelev's Revelation
Data Driven Decision-Making with Data Science Bootcamp: Artem Kopelev's Revelation
Data Science Dojo
20 Learn the Fundamentals of Data Science: Srinivas Rao's Experience with Data Science Bootcamp
Learn the Fundamentals of Data Science: Srinivas Rao's Experience with Data Science Bootcamp
Data Science Dojo
21 Re-Learning Data Science with Data Science Bootcamp: Analyst's Revelation
Re-Learning Data Science with Data Science Bootcamp: Analyst's Revelation
Data Science Dojo
22 Scale R to Big Data with Hadoop & Spark | Community Webinar
Scale R to Big Data with Hadoop & Spark | Community Webinar
Data Science Dojo
23 Enhancing Skills with Data Science Bootcamp: Sharon Lane-Getaz's Revelation
Enhancing Skills with Data Science Bootcamp: Sharon Lane-Getaz's Revelation
Data Science Dojo
24 Ryan DeMartino on the Impact of Data Science Bootcamp
Ryan DeMartino on the Impact of Data Science Bootcamp
Data Science Dojo
25 Software Engineer at Microsoft Reveals About His Experience with Data Science Bootcamp
Software Engineer at Microsoft Reveals About His Experience with Data Science Bootcamp
Data Science Dojo
26 Wade Wimer on the Impact of Data Science Bootcamp
Wade Wimer on the Impact of Data Science Bootcamp
Data Science Dojo
27 Analyzing Data with Data Science Bootcamp: Hannah Richta's Revelation
Analyzing Data with Data Science Bootcamp: Hannah Richta's Revelation
Data Science Dojo
28 Applying Data Science Skills to The Current Role with Bootcamp: Marcos Lacayo's Revelation
Applying Data Science Skills to The Current Role with Bootcamp: Marcos Lacayo's Revelation
Data Science Dojo
29 Lance Milner on the Impact of Data Science Bootcamp
Lance Milner on the Impact of Data Science Bootcamp
Data Science Dojo
30 Deloitte's Data Scientist Revelation: Learning Predictive Analytics with Data Science Bootcamp
Deloitte's Data Scientist Revelation: Learning Predictive Analytics with Data Science Bootcamp
Data Science Dojo
31 Rajesh Patil's Experience at Data Science Bootcamp As an Enterprise Architect
Rajesh Patil's Experience at Data Science Bootcamp As an Enterprise Architect
Data Science Dojo
32 Michael Atlin on the Impact of Data Science Bootcamp
Michael Atlin on the Impact of Data Science Bootcamp
Data Science Dojo
33 Amina Tariq's In-Person Experience at Data Science Bootcamp
Amina Tariq's In-Person Experience at Data Science Bootcamp
Data Science Dojo
34 Ceo's Revelation about Data Science Bootcamp
Ceo's Revelation about Data Science Bootcamp
Data Science Dojo
35 Stephen Miller Describes His Experience at Data Science Dojo's Bootcamp
Stephen Miller Describes His Experience at Data Science Dojo's Bootcamp
Data Science Dojo
36 Kevin Hillaker on the Impact of Data Science Bootcamp
Kevin Hillaker on the Impact of Data Science Bootcamp
Data Science Dojo
37 Marko Topalovic's Experience with Data Science Bootcamp
Marko Topalovic's Experience with Data Science Bootcamp
Data Science Dojo
38 Text Analytics With Python, Cognitive Services & PowerBI | Data Analytics | Community Webinar
Text Analytics With Python, Cognitive Services & PowerBI | Data Analytics | Community Webinar
Data Science Dojo
39 Unisys Manager's Revelation: Visualizing Real Time Data with Data Science Bootcamp
Unisys Manager's Revelation: Visualizing Real Time Data with Data Science Bootcamp
Data Science Dojo
40 Learn Data Mining with Data Science Bootcamp: Ryan LaBrie's Revelation
Learn Data Mining with Data Science Bootcamp: Ryan LaBrie's Revelation
Data Science Dojo
41 Vang Xiong on the Impact of Data Science Bootcamp
Vang Xiong on the Impact of Data Science Bootcamp
Data Science Dojo
42 Data Scientist's Experience at Our Data Science Bootcamp
Data Scientist's Experience at Our Data Science Bootcamp
Data Science Dojo
43 Alejandro Wolf Yadlin on the Impact of Data Science Bootcamp
Alejandro Wolf Yadlin on the Impact of Data Science Bootcamp
Data Science Dojo
44 Introduction To Titanic Kaggle Competition | Part 1
Introduction To Titanic Kaggle Competition | Part 1
Data Science Dojo
45 Learning How to Code in R with Data Science Bootcamp: Priscilla Mannuel's Revelation
Learning How to Code in R with Data Science Bootcamp: Priscilla Mannuel's Revelation
Data Science Dojo
46 Andrew Berman On Why Data Science Bootcamp Is Better Fit for Him
Andrew Berman On Why Data Science Bootcamp Is Better Fit for Him
Data Science Dojo
47 How To Do Titanic Kaggle Competition in R | Part 3.1
How To Do Titanic Kaggle Competition in R | Part 3.1
Data Science Dojo
48 How to do the Titanic Kaggle competition in R | Part 3.1
How to do the Titanic Kaggle competition in R | Part 3.1
Data Science Dojo
49 Delve Deeper into Data Science with Data Science Bootcamp
Delve Deeper into Data Science with Data Science Bootcamp
Data Science Dojo
50 Bank of America Data Scientist Reveals His Experience of Data Science Bootcamp
Bank of America Data Scientist Reveals His Experience of Data Science Bootcamp
Data Science Dojo
51 Shaena Montanari on the Impact of Data Science Bootcamp
Shaena Montanari on the Impact of Data Science Bootcamp
Data Science Dojo
52 Types of Sampling | Introduction to Data Mining | Part 12
Types of Sampling | Introduction to Data Mining | Part 12
Data Science Dojo
53 Sampling for Data Selection | Introduction to Data Mining | Part 11
Sampling for Data Selection | Introduction to Data Mining | Part 11
Data Science Dojo
54 Data Aggregation | Introduction to Data Mining | Part 10
Data Aggregation | Introduction to Data Mining | Part 10
Data Science Dojo
55 Data Cleaning | Introduction to Data Mining | Part 9
Data Cleaning | Introduction to Data Mining | Part 9
Data Science Dojo
56 Missing & Duplicated Data | Introduction to Data Mining | Part 8
Missing & Duplicated Data | Introduction to Data Mining | Part 8
Data Science Dojo
57 Data Noise | Introduction to Data Mining | Part 7
Data Noise | Introduction to Data Mining | Part 7
Data Science Dojo
58 Graph and Ordered Data | Introduction to Data Mining | Part 5
Graph and Ordered Data | Introduction to Data Mining | Part 5
Data Science Dojo
59 Document Data & Transaction Data | Introduction to Data Mining | Part 4
Document Data & Transaction Data | Introduction to Data Mining | Part 4
Data Science Dojo
60 Data Quality | Introduction to Data Mining | Part 6
Data Quality | Introduction to Data Mining | Part 6
Data Science Dojo

To ace a data science interview, clarify questions, align answers to the company and product, and mention trade-offs. Reusable frameworks can be applied to various data science questions, and understanding the company's goals and product is crucial.

Key Takeaways
  1. Clarify questions and understand the context
  2. Align answers to the company and product
  3. Mention trade-offs and potential drawbacks
  4. Develop reusable frameworks for data science questions
  5. Practice communicating complex ideas simply
💡 Reusable frameworks and understanding the company's goals and product can help data scientists prepare for and ace interviews, despite the broad range of potential questions.

Related Reads

📰
One Giant LLM Won't Run Your Business. A Team of Narrow Agents Might.
A single giant LLM is not suitable for running a business, instead a team of narrow agents with defined jobs can be more effective
Dev.to AI
📰
Prompt Injection Is a Claims Problem: Securing AI That Reads Documents You Don't Control
Learn how to secure LLM agents from prompt injection attacks when processing user-supplied documents, a critical operational security concern in claims processing workflows.
Dev.to AI
📰
The Best Character.AI Alternatives Reddit Actually Recommends in 2026
Discover the top Character.AI alternatives recommended by Reddit users in 2026 and learn how to explore them
Medium · AI
📰
Stop Obsessing Over Prompts. Context Is What Actually Makes LLMs Smart.
Learn why context is more important than prompts in making LLMs smart and how to apply this knowledge to improve your LLM models
Dev.to · Pallavi Sharma
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →