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- Aufgaben: Create innovative machine learning services and collaborate with cross-disciplinary teams.
- Arbeitgeber: Join a dynamic e-commerce company with 2k employees across Germany, focused on digital solutions.
- Mitarbeitervorteile: Enjoy flexible work hours, personal growth support, and an attractive salary package with bonuses.
- Warum dieser Job: Be part of a creative team that values curiosity and offers steep development curves in tech.
- Gewünschte Qualifikationen: Strong degree in data science or related fields, plus experience with Python and machine learning frameworks.
- Andere Informationen: Work in a hybrid model with ergonomic setups and a supportive team environment.
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
Data Scientist / Machine Learning Engineer
- Career Level: Professional / Middle / Experienced
- Country: Germany
Job Description
Data Scientist/ Machine Learning Engineer
Location : Cologne, hybrid
Contract : permanent
Are you interested in the next big challenge? Our client is a large company (2k employees in all major cities in Germany) with several digital products and services that make daily life easier for their customers. You will find the dynamics of e-commerce, agile processes, flat hierarchies, and steep development curves. They are looking for a Data Scientist/ Machine Learning Engineer with a strong interest in building end-to-end solutions.
Requirements:
- Very good degree, e.g., in data science, (business) informatics, mathematics, physics, or statistics.
- First practical professional experience in data science projects, preferably with insights into ranking and recommendation systems.
- Sound knowledge of the Python data science stack (Pandas, SKLearn, SciPy) and experience with deep learning frameworks (Pytorch, Tensorflow).
- Creativity and curiosity in applying the latest algorithms from data science to optimize products.
- Motivation for interdisciplinary work between IT and product management and for knowledge exchange within the company’s Data Science Community.
- Very good written and spoken German and English skills.
Responsibilities:
- Create new machine learning services focusing on recommendation and ranking systems, information extraction, and predictions, including conceptualization, data preparation, model training and evaluation, and preparation for go-live.
- Manage training experiments with modern MLOps frameworks such as MLFlow, helping to enhance their product.
- Integrate models into their product in terms of content and technology, using cloud technologies (AWS) in close collaboration with the development team.
- Keep up to date with the latest developments in machine learning.
- Work in a cross-disciplinary team in direct collaboration with product managers, developers, and business intelligence managers.
Flexible working time model with three days per week in the office and two days flexibly from the office or home. Personal growth support with further training and regular feedback meetings. Open-ended contracts with an attractive and performance-oriented salary package including annual bonuses, fitness cooperations, and subsidized company bicycle leasing. Independent, agile work in small teams with a strong team spirit and short decision-making processes. Ergonomic workplace with modern equipment, including two additional screens and height-adjustable desks from your first day at work.
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Data Scientist / Machine Learning Engineer Arbeitgeber: Zero to One Search | Recruitment Agency
Kontaktperson:
Zero to One Search | Recruitment Agency HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist / Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your practical experience in data science projects during networking events or meetups. Engaging with professionals in the field can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest trends in machine learning and data science by following relevant blogs, podcasts, and online courses. This knowledge will not only enhance your skills but also demonstrate your passion for the field during interviews.
✨Tip Number 3
Participate in hackathons or data science competitions to build your portfolio. These experiences can provide you with hands-on practice and showcase your ability to work on real-world problems, which is highly valued by employers.
✨Tip Number 4
Connect with current employees of the company on LinkedIn to learn more about their culture and expectations. This can give you an edge in understanding what they value in candidates and help you tailor your approach.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist / Machine Learning Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Scientist / Machine Learning Engineer position. Tailor your application to highlight relevant experiences and skills that align with the job description.
Highlight Relevant Experience: Emphasize any practical experience you have in data science projects, especially those involving ranking and recommendation systems. Use specific examples to demonstrate your proficiency with Python and deep learning frameworks.
Showcase Your Skills: Clearly outline your technical skills, particularly your knowledge of the Python data science stack and MLOps frameworks. Mention any relevant projects or achievements that showcase your creativity and curiosity in applying algorithms.
Craft a Strong Cover Letter: Write a compelling cover letter that reflects your motivation for interdisciplinary work and your enthusiasm for joining the company's Data Science Community. Make sure to express your interest in contributing to their innovative digital products.
Wie du dich auf ein Vorstellungsgespräch bei Zero to One Search | Recruitment Agency vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the Python data science stack, including Pandas, SKLearn, and SciPy. Highlight any projects where you've utilized deep learning frameworks like Pytorch or Tensorflow, as this will demonstrate your technical proficiency.
✨Demonstrate Your Problem-Solving Ability
Prepare examples of how you've approached complex data science problems in the past. Discuss your thought process in creating end-to-end solutions, especially in areas like recommendation and ranking systems, to show your analytical skills.
✨Emphasize Interdisciplinary Collaboration
Since the role involves working closely with product managers and developers, share experiences where you've successfully collaborated across different teams. This will highlight your ability to work in a cross-disciplinary environment, which is crucial for this position.
✨Stay Updated on Industry Trends
Research the latest developments in machine learning and be ready to discuss them during the interview. Showing your curiosity and motivation to keep learning will resonate well with the company's focus on innovation and growth.
