Auf einen Blick
- Aufgaben: Join us as a Data Scientist to tackle exciting projects with top-tier clients.
- Arbeitgeber: We're a dynamic consulting firm specializing in cloud-based data platforms and AI/ML solutions.
- Mitarbeitervorteile: Enjoy flexible hours, remote work options, and a focus on continuous learning.
- Warum dieser Job: Work in a fun, collaborative culture while using cutting-edge technologies to make an impact.
- Gewünschte Qualifikationen: 5+ years in Data Science, fluent in German and English, and skilled in Python or R.
- Andere Informationen: No fixed hours or reporting structure; we trust you to deliver great results.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
We are a young consulting company with a team of talented data engineers, architects, and data scientists specializing in building cloud-based data platforms and AI/ML solutions for our customers. Our customers, with whom we have strong relationships and multi-year contracts, include well-known companies in the areas of energy providers & utilities, retail, financial services, and mobile apps. Our projects always involve applying cutting-edge cloud technologies to exciting real-world data. This is shown by our strong relationship with Microsoft, where we have multiple Gold- and Advanced Certifications. One extremely important aspect of the work at paiqo is our culture – having fun working together, trusting each other, and combining independence with teamwork. There are no fixed working hours and no fixed reporting structure. We are looking for Data Scientists who we can trust to do great work on their projects because they are motivated by the challenging nature of the projects themselves. We are also looking for people who we can learn from and who are willing to learn with us, to always stay on the cutting edge with our technical skills. Your tasks in a project could be: Interacting with the customer and understanding their business needs and processes Use case reflection together with the customer to find the best use case to apply Data Science / Machine Learning Analyzing and understanding the provided data and connecting it to the business processes Implementing a machine learning model (whichever model fits best; e.g. in Python) which improves the business processes Presentation of results and discussion of the machine learning model internally and with the customer Deployment of the found model in the customer’s business processes (on-premises or in the cloud) What we offer: Challenging projects with well-known companies in various fields Young and highly motivated team Great emphasis on education and training with dedicated time on the job Opportunity to use the newest technologies around Data Science Home office Flexible working hours Minimum Requirements: Good analytical and problem-solving skills, critical thinking, and an ability to explore and understand customers’ technical ecosystems and data, as well as an ability to communicate complex technical problems and their solutions clearly Experience in the Python and/or R Data Science ecosystems Interest in working with visualization tools (PowerBI, etc.) Interest in modern cloud-based data architecture and cloud services Interest in working with Spark and the Hadoop stack Readiness to travel German and English fluently spoken and written Deep understanding of the overall Data Science workflow including the most common algorithms Experience in working with various databases (SQL and NoSQL) 5+ years of experience in a similar role Ability to handle the full data science lifecycle from conception to deployment #J-18808-Ljbffr
Data Scientist (jun. / sen.) Arbeitgeber: Jobleads
Kontaktperson:
Jobleads HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist (jun. / sen.)
✨Tip Number 1
Make sure to familiarize yourself with the latest cloud technologies and data science tools, especially those related to Microsoft. Since we have a strong relationship with Microsoft, showcasing your knowledge in Azure or other Microsoft services can set you apart.
✨Tip Number 2
Highlight your experience with machine learning models and be prepared to discuss specific projects where you've implemented these models. We value practical experience, so being able to share real-world examples will demonstrate your capability.
✨Tip Number 3
Since our culture emphasizes teamwork and independence, think of examples from your past work where you successfully collaborated with others while also taking initiative. This will show us that you can thrive in our unique work environment.
✨Tip Number 4
Prepare to discuss how you approach problem-solving and critical thinking in data science. We appreciate candidates who can clearly communicate complex technical issues and their solutions, so practice articulating your thought process.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist (jun. / sen.)
Tipps für deine Bewerbung 🫡
Understand the Company Culture: Before applying, take some time to understand the company culture at paiqo. Highlight your ability to work independently while also being a team player in your application.
Tailor Your CV: Make sure your CV reflects your experience in Data Science, particularly with Python and R. Include specific projects where you implemented machine learning models and any relevant cloud technologies you've worked with.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the projects at paiqo. Mention your problem-solving skills and how you can contribute to their innovative projects with well-known companies.
Showcase Your Communication Skills: Since the role involves interacting with customers, emphasize your ability to communicate complex technical concepts clearly. Provide examples of how you've successfully conveyed technical information in past roles.
Wie du dich auf ein Vorstellungsgespräch bei Jobleads vorbereitest
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used your analytical and problem-solving skills in past projects. Highlight your ability to understand complex data ecosystems and communicate technical solutions clearly.
✨Demonstrate Technical Proficiency
Make sure to highlight your experience with Python, R, and any visualization tools like PowerBI. Be ready to discuss your familiarity with cloud services and modern data architectures, as these are crucial for the role.
✨Engage in Use Case Discussions
Since the role involves interacting with customers to find the best use cases for Data Science, practice discussing how you would approach understanding a customer's business needs and translating them into actionable data science projects.
✨Emphasize Teamwork and Independence
The company values a culture of trust and collaboration. Share experiences where you've successfully worked both independently and as part of a team, showcasing your ability to balance these aspects effectively.