Dribia job application form

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Thanks for your interest in working at Dribia. As a first step, please fill out this short application form. Bear in mind that these questions are merely informative, there are no good or bad answers.

*Disclaimer.* Your personal data and contact details will be used exclusively for recruitment purposes. Our data protection officer is Oleguer Sagarra and can be reached at dpo@dribia.com

Full name *

Please write your name.

Email *

Please write your email address.

Languages *

Please select the languages that you speak.

Spanish

Catalan

English

Other:

Required

Academic background *

Please select the highest degree/studies that you have completed.

Bachelor (BSc)

Master (MSc)

Doctorate (PhD)

Degree title *

Please write the (full) name(s) of your degree(s)/studies.

Data & analytics experience *

Please indicate your experience working (professionally) with data and/or analytics (in academia or industry).

0 years

1-2 years

3-4 years

5 or more years

Research experience *

Please indicate your research experience (including Bachelor and/or Master thesis).

0 years

1-2 years

3-4 years

5 or more years

Scientific programming experience *

Please indicate your experience with scientific programming in Python, R, C, FORTRAN, MATLAB, Julia or similar.

0 years

1-2 years

3-4 years

5 or more years

Software and coding experience *

Please indicate your experience with any of these technologies: SQL, docker, API, REACT, HTML, JavaScript, Mongo, Spark, Hadoop...

0 years

1-2 years

3-4 years

5 or more years

Curriculum vitae *

Please add a Dropbox, Google Drive or similar link to your CV (in .pdf format). Make sure that we have access to the file.

If you have a LinkedIn profile, please add a link.

Code repository

If you have a profile on Github, Kaggle or similar coding platform, please add a link (or links).

Availability *

When could you start working at Dribia?

in 15 days

in 1 month

in 3 months

in 6 months or more

Skills & knowledge *

Please evaluate your level of expertise of the following items:

Needs work

Meets the mark

Above average

Superb

Programming

Machine learning

Analytics and statistics

Creativity and problem solving

Communication

Managing clients

Teamwork

Tech stack *

Please indicate your familiarity with the following technologies:

I've never heard of it

I know what it does

I've used it

I'm familiar with it

I've mastered it

Python

pandas

scikit learn

numpy

altair

mypy

black

pydantic

pandera

pre-commit

SQL

git

api

docker

linux

vue

javascript

html

cloud solutions

In a short paragraph, tells us why are you interested to join our project.

Submit

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