Vaga de Senior Data Scientist
1 vaga: | Publicada em 12/05
- A Combinar
Sobre a vaga
AgileEngine is a topranking provider of software solutions to Fortune 500 Global
500 and Future 50 companies. Listed on Inc. 5000 among the fastestgrowing US
companies we are always open to talented software UX and data experts in the
Americas Europe and Asia.
If you like a challenging environment where you re working with the best and are
encouraged to learn and experiment daily there s no better place guaranteed! :)
What you will do
The research team takes priority date and turns it into visualization When we take
Indeed data one of the first questions we get is around comparing hiring industry
data geo is a big component and time data is also important and those change over
time and we need Indeed s data to get assessment of the labor market this person
will be support that consistency on JS Singapore London US Germany cross team;
Data analysis and visualization software for working with R (RStudio) and
continuously maintains packages that make data easy to work with and visualize.
Must haves
R for Data Science;
Economist/Finance interest or background;
Data Analytics and Statistical experience;
The data scientist should have some experience in R/tidyverse SQL AWS and be
experienced with building reporting tools in quarto.
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship TechTalks and personalized
growth roadmaps.
Competitive compensation
We match your evergrowing skills talent and contributions with competitive
USDbased compensation and budgets for education fitness and team activities.
A selection of exciting projects
Join projects with modern solutions development and toptier clients that include
Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal worklife balance by having the options of
working from home and going to the office whatever makes you the happiest and most
productive.
R for Data Science; Economist/Finance interest or background; Data Analytics and
Statistical experience; The data scientist should have some experience in
R/tidyverse, SQL, AWS, and be experienced with building reporting tools in quarto.