DataRobot Interview Prep Flashcards

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1
Q

Tell me about yourself and why you are interested in this role?

A
  • *Present:** Director, Enterprise DnA
  • *Past:** Merck 4 years, USMC before that
  • *Future:** Now that I recently finished up my masters of data science, I am looking to get closer to data science and cutting edge tech (ideally in a mature start-up). I’m really passionate about using data science and tech to solve important problems. Can’t think of a bigger problem to solve than healthcare. Government HAS to fix this.
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2
Q

Key stories to pull from

A

1) Fortify DA
2) Crisis Mgmt
3) HIV

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3
Q

Define AI

A

Machines and technology that is able to replicate the intelligence of humans.

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4
Q

Examples of AI/ML

A
  • Marion
  • Supply chain
  • Early detection of cancer
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5
Q

Types of machine learning

A
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
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6
Q

Strong vs. Weak AI

A

Weak AI - narrow, most use cases

Strong AI - Imitate human intelligence

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7
Q

Explain neural networks

A

Replicates now the brain works

Input layer: Info comes in to an input layer
Hidden layer: n # of hidden layers, that make computations to make sense of pieces of info
Output layer: main outcome

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8
Q

Types of neural networks

A

Convolutional Neural Network: Input taken in as batch (mainly used for images)
Recurrent Neural Network: sequential, input 1 + 2 + 3

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9
Q

Greatest professional achievement

A

Merck: CM Program
USMC: Iraq

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10
Q

Challenge or conflict

A

US and Prague team

Team contract, psychological safety

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11
Q

Mistake

A

Prod Owner decision for ADA

Talk about how I learned from this for Design Lead role

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12
Q

What are you looking for in a role:

A
  • Impact
    • Closer to cutting edge tech and data science
    • Strong leadership
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13
Q

Leadership style

A

Servant leader – if you take care of your Marines, they will take care of you

Active listener and continuous learner

Principle-based decision making – making the right call, not what people want to hear

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14
Q

Where do you see yourself in 5 years?

A

Seen as a thought leader in the data science and healthcare space – in a position where I am shaping the future of the industry

Leading teams within a tech or health tech company

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15
Q

30 - 60 - 90

A

30: Listen, listen, listen
60: Develop priorities
90: Execution

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