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- Aufgaben: Drive impactful Data Science projects using statistics and ML to enhance decision-making.
- Arbeitgeber: Join a globally recognized brand making waves in data-driven solutions.
- Mitarbeitervorteile: Enjoy competitive perks, collaborative culture, and opportunities for professional growth.
- Warum dieser Job: Be at the forefront of innovation, applying your expertise to real-world challenges.
- Gewünschte Qualifikationen: Expertise in statistics, ML algorithms, and strong communication skills required.
- Andere Informationen: Ideal for those passionate about delivering high-quality results and teamwork.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
If you know the difference between correlation & causation, have an excellent understanding of classical probability & statistics as well as state of the art ML algorithms and want to drive real business impact at one of the most recognisable brands globally, this job is for you!
In this role, you’ll contribute to global Data Science projects to enable stakeholders to make better data-driven decisions. As a Statistics & ML Expert you’ll be responsible for the methodological aspects of Data Science projects in fields like statistical forecasting, network optimisation, quality assurance, sports analytics, and others. You know how and you know why specific Data Science methods & algorithms should be applied and you know how to develop new ones. Always aiming for highest quality results, you are also able to come up with pragmatic solutions if the situation demands it.
Your focus is not only on delivering (model) outputs, but you are also able to explain and present your results to both a technical and non-technical audience. As a team player you’ll support the team and the organisation with your expert knowledge.
Company:
Red Bull Data Service GmbH
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years): Senior (5+ years of experience)
Tagged as: Austria , Industry , NLP
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Senior Data Scientist (Statistics & ML Expert) Arbeitgeber: NLP PEOPLE
Kontaktperson:
NLP PEOPLE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Scientist (Statistics & ML Expert)
✨Tip Number 1
Make sure to showcase your understanding of both classical statistics and modern machine learning algorithms in your conversations. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your expertise and practical experience.
✨Tip Number 2
Familiarize yourself with the business impact of data science projects. When networking or interviewing, highlight how your work has led to better decision-making or improved outcomes in previous roles, as this aligns perfectly with our goal of driving real business impact.
✨Tip Number 3
Prepare to explain complex statistical concepts in simple terms. Since you'll be presenting to both technical and non-technical audiences, practice how you would communicate your findings clearly and effectively to ensure everyone understands the value of your work.
✨Tip Number 4
Emphasize your collaborative spirit during discussions. As a team player, share examples of how you've supported colleagues in past projects, showcasing your ability to work well within a team and contribute to a positive work environment.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Scientist (Statistics & ML Expert)
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with statistical forecasting, network optimization, and machine learning algorithms. Use specific examples from your past work that demonstrate your expertise in these areas.
Showcase Communication Skills: Since the role requires explaining complex data science concepts to both technical and non-technical audiences, include examples of how you've successfully communicated your findings in previous roles.
Demonstrate Problem-Solving Abilities: Provide instances where you developed new methods or algorithms to solve specific problems. Highlight your ability to deliver high-quality results while also being pragmatic when necessary.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements mentioned in the job description. Use keywords related to statistics, machine learning, and data-driven decision-making to align your application with the company's needs.
Wie du dich auf ein Vorstellungsgespräch bei NLP PEOPLE vorbereitest
✨Show Your Statistical Knowledge
Be prepared to discuss classical probability and statistics in detail. You might be asked to explain concepts like correlation vs. causation, so make sure you can articulate these differences clearly.
✨Demonstrate ML Expertise
Familiarize yourself with state-of-the-art machine learning algorithms. Be ready to discuss how you've applied these methods in past projects and the impact they had on business outcomes.
✨Prepare for Practical Scenarios
Expect to encounter real-world problems during the interview. Think about how you would approach statistical forecasting or network optimization challenges, and be ready to present your thought process.
✨Communicate Effectively
Since you'll need to explain complex results to both technical and non-technical audiences, practice simplifying your findings. Use clear examples and avoid jargon to ensure everyone understands your insights.
