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- Aufgaben: Join a team to develop machine learning models for commodities trading.
- Arbeitgeber: Work with a leading global financial institution in Zurich.
- Mitarbeitervorteile: Enjoy an attractive salary and opportunities for professional growth.
- Warum dieser Job: Make a real impact by enhancing decision-making through data science.
- Gewünschte Qualifikationen: Experience in Python, DevOps, and strong communication skills required.
- Andere Informationen: Collaborate with digital teams and business stakeholders for innovative solutions.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Ref: 525ASISW
Title: Data Scientist – Commodities Trading
Location: Thalwil, Zurich, Switzerland
Salary: Attractive
Date: 07th March 2025
Our client, a leading global financial institution, is looking for an experienced Data Scientist to join their team. This role is ideal for someone with a strong background in quantitative methodologies, eager to develop and enhance analytics solutions that drive commodity management decisions. You will collaborate with digital teams and business stakeholders to identify priorities and optimize workflows, leveraging advanced data science techniques.
Duties Include:
- Work closely with business teams to identify opportunities where machine learning can enhance decision-making.
- Design, develop, and implement end-to-end machine learning models, including regression, classification, text analysis, and time series forecasting.
- Collect, process, analyze, and visualize large structured and unstructured datasets from internal and external sources.
- Apply appropriate modeling techniques to generate actionable insights and improve analytics solutions.
- Monitor and enhance model performance, expanding scope as needed.
- Partner with data engineers to build scalable, repeatable data pipelines, ensuring consistency and robustness in analytics applications.
- Establish best practices for integration projects and data-driven initiatives.
The preferred candidate should possess experience in Python code and strong knowledge of DevOps practices(e.g., Git, Agile methodology) with additional knowledge in MLOps, model architecture design, and testing patterns) excellent communication and interpersonal skills and be able to interact at all levels of business efficiently.
If you are interested in this opportunity, please email your C.V. to or call Altus Search on +41 (0) 41 560 02 21 for a confidential discussion.
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Data Scientist Arbeitgeber: Altus Search Ltd
Kontaktperson:
Altus Search Ltd HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist
✨Tip Number 1
Familiarize yourself with the specific machine learning techniques mentioned in the job description, such as regression, classification, and time series forecasting. Being able to discuss these methods confidently during your interview will demonstrate your expertise and readiness for the role.
✨Tip Number 2
Showcase your experience with Python and DevOps practices by preparing examples of past projects where you successfully implemented machine learning models. This will help you illustrate your technical skills and problem-solving abilities to the hiring team.
✨Tip Number 3
Highlight your collaboration skills by discussing how you've worked with cross-functional teams in previous roles. Emphasizing your ability to communicate effectively with both technical and non-technical stakeholders will be crucial for this position.
✨Tip Number 4
Research the company’s current analytics solutions and think about how you can contribute to enhancing them. Bringing specific ideas or suggestions to the interview can set you apart and show your genuine interest in the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with quantitative methodologies and machine learning techniques in your CV and cover letter. Mention specific projects where you designed and implemented models, as this aligns with the job requirements.
Showcase Technical Skills: Clearly list your proficiency in Python and any relevant DevOps practices such as Git and Agile methodology. If you have experience with MLOps or model architecture design, be sure to include that as well.
Tailor Your Application: Customize your application materials to reflect the specific duties mentioned in the job description. For instance, discuss how you've collaborated with business teams to enhance decision-making through data science.
Communicate Effectively: Since excellent communication skills are emphasized, ensure your application is clear and concise. Use straightforward language and structure your documents logically to demonstrate your ability to communicate complex ideas effectively.
Wie du dich auf ein Vorstellungsgespräch bei Altus Search Ltd vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and machine learning techniques. Highlight specific projects where you've implemented regression, classification, or time series forecasting models, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the commodities trading sector and understand how data science can impact decision-making in this field. Being able to articulate how your work can drive business outcomes will impress the interviewers.
✨Communicate Effectively
Since excellent communication skills are essential for this role, practice explaining complex data science concepts in simple terms. Be ready to discuss how you’ve collaborated with non-technical stakeholders in the past.
✨Demonstrate Your Problem-Solving Approach
Prepare to discuss specific challenges you've faced in previous projects and how you overcame them. This will showcase your analytical thinking and ability to enhance analytics solutions effectively.
