Question 1

How can I make sure the data scientist understands my project goals?

Accepted Answer

Start by clearly defining your project's objectives in simple words. Use examples or stories to show what you want to achieve. Make sure they repeat back what they think they understood, so you know they get it.

Question 2

What should I include in a project brief for a data scientist?

Accepted Answer

Your project brief should be as clear as a sunny day. Mention the type of data you'll be using and the results you want. Don’t forget to add important deadlines and any tools you'll need the data scientist to use.

Question 3

Why is it important to discuss data privacy before starting a project?

Accepted Answer

Data privacy is like a lock for your treasure. Make sure your data scientist knows how to handle sensitive information. Talking about it first keeps your data safe and respects everyone's privacy.

Question 4

How can I ensure the data scientist has the skills needed for my project?

Accepted Answer

Look at the data scientist’s past work, like how a detective checks clues. Ask for examples of similar projects they've done before. This way, you can trust they have the right skills.

Question 5

What is the best way to agree on project timelines with a data scientist?

Accepted Answer

Think of the project timeline as a map. Discuss when each part of the project is due, just like planning a road trip. This helps everyone stay on track and reach the destination on time.

Question 6

How should I define success for my data science project?

Accepted Answer

Success is like the finish line of a race. Decide what winning looks like for your project. Maybe it's a certain data insight or a shiny new report. Share this picture with your data scientist so you both know where to run.

Question 7

Are there any specific regulations in São Paulo to consider when using data?

Accepted Answer

In São Paulo, just like other places, there are rules about data usage. Make sure your data scientist knows these rules. It’s important to follow them so everyone plays fair and stays safe.

Question 8

What local resources can a data scientist in São Paulo use for better insights?

Accepted Answer

São Paulo has unique data resources like city-specific datasets. Encourage your data scientist to explore local data sets and libraries. This can make their insights richer and more tailored to local needs.

Question 9

Why is it important to align on tools and technologies from the start?

Accepted Answer

Using the same tools is like speaking the same language. Decide together what software and platforms to use. This makes working together smooth and helps avoid any surprises later.

Question 10

How can I establish a communication plan with my data scientist?

Accepted Answer

Setting a communication plan is like having a phone line to your friend. Decide how often you want updates and the best way to get them. This helps keep everyone informed and the project running smoothly.

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