Senior R/Shiny Software Engineer

About Appsilon

Appsilon is an ambitious and fast-growing software house and consultancy specializing in actions support systems and machine learning with Fortune 500 clients across the globe. We are a unique company inspired by a mission to improve our society and environment.

We are a global leader in R and Shiny which are used by companies of all sizes to build data applications. When companies run into difficult problems or want to initiate large-scale enterprise projects they come to Appsilon.

Before you apply please read our code of conduct .

Every few months we start new projects and dive into a new world. One day we learn the secrets of promotions in retail chains; another day we analyze satellite images and then we get super exciting data from the residential market for analysis. Our projects are not only an opportunity to test our skills in complex statistical algorithmic and technological problems but also an opportunity to learn how many different industries work from the inside.

Tech Stack that you can expect in Appsilon: R Shiny JavaScript React.js Python Docker Git AWS HTML CSS/Sass

We are growing fast so we are now looking for a new R/Shiny Developer to join our team.

Your tasks:

• Designing comprehensive solutions in R for clients.

• Choosing the right technology solutions for the right problems.

• Sharing knowledge and driving innovation.

• Delivering the features according to the timeline or discussing/communicating the changes.

• Taking care of the direct communication with clients.

• Showing a high level of understanding of clients' problems.

What we expect from you:

• Advanced R knowledge including advanced mechanisms of Shiny (e.g. bindings register DataObj performance promises single-threading etc.) and ability to effectively use them in practice.

• Proven track of building web applications or websites using R/Shiny and JavaScript.

• Writing high-quality optimal code.

• Good understanding of reactivity in Shiny and ability to troubleshoot.

• Experience in processing analyzing and visualizing data sets optimally.

• Advanced git knowledge.

• Very good knowledge of SQL.

• Experience using cloud computing environments (AWS Azure GCP).

• Experience with JS and ability to use it to implement visually impressive applications.

• You have a valid passport (when you're based outside of Poland) or ID (if you're based in Poland).

• Good understanding of Agile.

• Experience working in a team environment.

What’s in it for you:

• From 20.000 up to 24.000 PLN/month + VAT on a B2B contract ( $4900 - $5900/month ). Please check our career path document regarding levels and salary systems.

• 26 days of paid holidays + an equivalent of public holidays in Poland est. 13 days in 2024

• +5% of salary in the Professional Development Budget to spend on activities that help you grow

• 33 days (paid 80%) per year on B2B when on a sick leave

• 4 paid days per year to be used for training/conferences events or workshops

• Remote work -first working culture with flexible working hours to adjust to your family life

• Private health care insurance for you and your family

• Life insurance for you and your family

• FitProfit or FitSport membership card (in Poland)

• AskHenry – a personal assistant works great in large Polish cities elsewhere limited to online support

• Opportunity to work with prestigious brands such as Warner Bros Merck or Johnson & Johnson where you can see how data science is used.

• Opportunity to develop yourself as an independent Shiny expert in a data science community not only as a developer but also as a consultant.

What can you expect during the recruitment process?

• Screening call

• Home assignment

• Tech and Culture Fit Interviews (we cherish our values you can read about it more here: https://appsilon.com/careers/ ).

Appsilon is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds cultures genders experiences abilities and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race color national origin religion sexual orientation gender gender identity age physical disability or length of time spent unemployed.

Does this sound like a great opportunity for you? Use the Apply button below!