At a Glance
- Tasks: Lead R-based projects, manage backlogs, and collaborate with teams to deliver innovative solutions.
- Company: Join a forward-thinking tech company focused on cloud and data solutions.
- Benefits: Competitive salary, onsite work, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor junior team members and enhance coding standards.
- Why this job: Make an impact in data analysis and cloud technology while working with cutting-edge tools.
- Qualifications: 15+ years of experience in R, cloud concepts, and Linux.
The predicted salary is between 80000 - 100000 € per year.
Mode of Working: Onsite
The Role:
- Must have: Senior SME with R expertise (R modules, libraries, execution environment) with expertise in cloud concepts - containerization, Linux job scheduler and HPC.
Your Responsibilities:
- Liaise with Business and take care of the key responsibilities.
- Lead Backlog Refinement meetings.
- Lead meetings with Business.
- Discussion on Roadmap.
- Requirement Eliciting.
- Managing Backlog and Requirement prioritization.
- Work with Dev team and take care of key responsibilities.
- Tracking Progress and Ensuring delivery.
- Clarifying doubts of Dev team related to requirements understanding.
- Contribute to Design level discussions.
- Develop and maintain robust R scripts for data analysis, modelling, and reporting.
- Utilize key R libraries such as:
- tidyverse (data manipulation and visualization)
- data.table (high-performance data processing)
- caret/mlr3 (machine learning)
- shiny (interactive dashboards)
- plumber (API development)
- Create reusable R modules and packages for internal use.
- Configure and manage R environments across local, server, and cloud platforms.
- Optimize R code for performance in distributed or containerized environments.
- Ensure reproducibility and version control using tools like renv, packrat, or Docker.
- Understand and apply containerization principles using Docker to package R applications.
- Collaborate with DevOps teams to deploy R-based solutions in cloud environments (e.g., Azure, AWS, GCP).
- Support CI/CD pipelines for R scripts and dashboards.
- Write and manage Linux shell scripts to automate R script execution.
- Use cron jobs or Linux job schedulers (e.g., at, systemd timers) to schedule R tasks.
- Monitor and troubleshoot scheduled jobs and system resource usage.
- Work closely with data engineers, analysts, and cloud architects to ensure seamless integration.
- Document R workflows, environment setup, and deployment procedures.
- Provide training and support to junior team members on R and cloud basics.
- Ensure compliance with data governance, security, and privacy standards.
- Promote coding standards, testing, and peer reviews for R scripts.
- Evaluate and recommend new tools or libraries to enhance productivity.
- Working with development teams to facilitate package development and deployment.
- Configuring and managing package sources, including mirrors and custom repositories.
- Ensuring the availability and accessibility of packages to users.
Your Profile:
- Essential Skills / Knowledge / Experience:
- R (R Modules/ Libraries / Execution Environment) with expertise in cloud concepts - containerization.
- HPC Architecture.
- Basic of Linux.
- Microsoft Azure based Architecture.
- Python.
- Good to Have:
- Life Science domain understanding.
- Integration of Storage containers in R.
- Github.
Additional Details:
- Desired Experience Range: 15+ yrs.
- No of Requirements: 1.
Technical Product Owner (R based) employer: Stackstudio Digital Ltd.
As a Technical Product Owner at our company, you will thrive in a dynamic and collaborative work environment that values innovation and expertise. We offer competitive benefits, a strong focus on employee development, and opportunities to work with cutting-edge technologies in cloud computing and data analysis. Our onsite location fosters teamwork and allows for meaningful interactions, ensuring that your contributions directly impact our success.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Product Owner (R based)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and data science fields. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R projects, especially those involving cloud concepts and containerization. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with R libraries, cloud environments, and Linux job schedulers. Practise common interview questions and think about how you can relate your past experiences to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people. So, get that application in and let’s make some magic happen!
We think you need these skills to ace Technical Product Owner (R based)
Some tips for your application 🫡
Show Off Your R Skills:Make sure to highlight your expertise in R, especially with the libraries and modules mentioned in the job description. We want to see how you've used these tools in real projects, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Technical Product Owner role. Use keywords from the job description to show us you’re a perfect fit for the position.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your experience and skills are easy to understand and relevant to the role.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Stackstudio Digital Ltd.
✨Know Your R Inside Out
Make sure you’re well-versed in R modules, libraries, and the execution environment. Brush up on key libraries like tidyverse and data.table, and be ready to discuss how you've used them in past projects. This will show your expertise and confidence in handling technical discussions.
✨Understand Cloud Concepts
Familiarise yourself with containerization and cloud platforms like Azure or AWS. Be prepared to explain how you’ve deployed R-based solutions in these environments. This knowledge is crucial for the role, so don’t skip over it!
✨Prepare for Backlog Management Questions
Since you'll be leading backlog refinement meetings, think about your approach to managing and prioritising requirements. Have examples ready that demonstrate your experience in liaising with business stakeholders and working with development teams to clarify requirements.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, including DevOps and data engineers. Be ready to share experiences where you’ve successfully collaborated on projects, especially those involving CI/CD pipelines or troubleshooting scheduled jobs. Highlighting your teamwork will set you apart!
