Senior R/Shiny Software Engineer

Posted 15 Days Ago
Be an Early Applicant
Hiring Remotely in Warsaw, Warszawa, Mazowieckie
Remote
5-7 Years Experience
Information Technology • Machine Learning • Software
The Role
Senior Shiny Software Engineer role at Appsilon, a fast-growing software house specializing in support systems and machine learning. Responsibilities include designing solutions in R, choosing technology solutions, sharing knowledge, and more. Requires advanced R knowledge, experience with web applications using R/Shiny and JavaScript, good understanding of reactivity in Shiny, and Agile methodology. Offers competitive salary, remote work, paid holidays, professional development budget, and more benefits.
Summary Generated by Built In

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.
  • 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!

Top Skills

JavaScript
Python
R
React
Shiny
The Company
Warsaw
86 Employees
On-site Workplace
Year Founded: 2013

What We Do

At Appsilon we are helping the leading Fortune 500 and large-scale enterprise organizations unlock their business potential with the power of data science and visualization. Your Roadmap to Success: Transform your data into results and unlock the full potential of R in your workflows. Empower your team with seamless Shiny adoption. Experience world-class UI/UX solutions and explore exceptional infrastructure options, designed to cater to your unique needs. We've got you covered every step of the way, ensuring a smooth data journey. Appsilon is a software development and consulting company, passionate about advanced data analytics, personalized machine learning solutions, and creating unique Shiny applications. We collaborate with Fortune 500 companies and large-scale organizations worldwide, where we've been fortunate to craft custom solutions using R and Shiny since 2013. We are proud of what we've achieved so far, and we are excited about the road ahead. We look forward to shaping the future of data analytics and machine learning. Let us help you turn your data into results

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