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Catering jobs in Germany

Data Scientist (f/m/x)

exmox GmbH

Germany
Hybrid
EUR 60,000 - 80,000
30+ days ago
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Stellenangebot

Medizinischer Dienst der Krankenversicherung Nordrhein

Düsseldorf
On-site
EUR 70,000 - 100,000
30+ days ago

Sales Manager (m/w/d)

HÖRMANN Holding GmbH & Co. KG

München
On-site
EUR 70,000 - 90,000
30+ days ago

Koch/Köchin (w/m/d) 20-30 Stunden

Landenberger Culinary & Catering

Werder (Havel)
On-site
Confidential
8 days ago

Projektleiter:in - Eventmanager:in (m/w/d) | Eventcatering by DEKHALU

DEKHALU Catering & Events GmbH

Rodgau
On-site
Confidential
8 days ago
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Catering-Koch

Lofthouse Catering GmbH

Offenbach am Main
On-site
EUR 30,000 - 40,000
8 days ago

Eventlogistiker:in in Voll-, Teilzeit oder Nebenjob | Eventcatering by DEKHALU

DEKHALU Catering & Events GmbH

Rodgau
On-site
Confidential
8 days ago

Kantinenleiter / Küchenleiter (m/w/d)

Menü 2000 Catering Röttgers GmbH & Co. KG

Bernburg (Saale)
On-site
EUR 40,000 - 55,000
8 days ago
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Kantinenmitarbeiter (m/w/d)

Menü 2000 Catering Röttgers GmbH & Co. KG

Reichshof
On-site
EUR 30,000 - 35,000
8 days ago

Servicekraft Helfer (m/w/d) für den Konferenzservice

Klüh Catering GmbH

Essen
On-site
EUR 30,000 - 35,000
8 days ago

Lagerleitung Lagerleiter (m/w/d) Vollzeit in Mülheim an der Ruhr

Klüh Catering GmbH

Mülheim an der Ruhr
On-site
EUR 35,000 - 50,000
8 days ago

Office Operations Lead (m/w/d) 60.000 € p. a.

Bpuls Events & Catering GmbH

Berlin
On-site
EUR 60,000
8 days ago

Reinigungskraft (m/w/d) Aderstedt (Huy)

Weidemann Catering GmbH

Huy
On-site
EUR 20,000 - 40,000
8 days ago

apetito catering: Servicemitarbeiter / Servicekraft (m/w/d)

apetito catering B.V. & Co. KG

Greven
On-site
EUR 25,000 - 35,000
9 days ago

Sachbearbeiter*in für die Kundenbetreuung (m/w/d) in Teilzeit 20 Std. Woche

BVS Catering GmbH

Mannheim
On-site
Confidential
9 days ago

Executive Operations Assistant (m/w/d) 60.000 € p. a.

Bpuls Events & Catering GmbH

Berlin
On-site
EUR 60,000
9 days ago

Gastronomie Allrounder (d/w/m)

SV Business Catering GmbH - Trier

Trier
On-site
EUR 30,000 - 40,000
9 days ago

Junior Bezirksleiter / Betriebswirt im Außendienst (m/w/d)

Menü 2000 Catering Röttgers GmbH & Co. KG

Meinerzhagen
On-site
EUR 40,000 - 50,000
10 days ago

Logistiker (m/w/d) Gastronomiebereich Erzgebirgsstadion Aue

Veilchen Catering GmbH

Aue-Bad Schlema
On-site
Confidential
10 days ago

Kantinenmitarbeiter (m/w/d)

Menü 2000 Catering Röttgers GmbH & Co. KG

Frankenthal (Pfalz)
On-site
EUR 60,000 - 80,000
10 days ago

Chef de Partie (m/w/d)

Lehrieder Catering-Party-Service GmbH & Co.KG

Nürnberg
On-site
Confidential
10 days ago

Koch Betriebsgastronomie (m/w/d)

Menü 2000 Catering Röttgers GmbH & Co. KG

Hannover
On-site
EUR 30,000 - 40,000
10 days ago

Kantinenmitarbeiter (m/w/d)

Menü 2000 Catering Röttgers GmbH & Co. KG

Frankfurt
On-site
EUR 60,000 - 80,000
10 days ago

Kantinenmitarbeiter (m/w/d)

Menü 2000 Catering Röttgers GmbH & Co. KG

Emlichheim
On-site
EUR 60,000 - 80,000
10 days ago

Küchenhilfe in Teilzeit (m/w/d)

Klüh Catering GmbH

Paderborn
On-site
EUR 60,000 - 80,000
10 days ago

Top job titles:

Quereinsteiger jobsControlling jobsLebensmitteltechnologe jobsPr jobsEmployer Branding jobsFrontend Developer jobsTravel Manager jobsLinguistik jobsAutor jobsSoftware Tester jobs

Top companies:

Jobs at FlinkJobs at GoogleJobs at RitualsJobs at BauhausJobs at BarmerJobs at ShellJobs at CeweJobs at AgcoJobs at IfmJobs at Msg

Top cities:

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Data Scientist (f/m/x)
exmox GmbH
Germany
Hybrid
EUR 60.000 - 80.000
Full time
30+ days ago

Job summary

A leading company in Hamburg is seeking a Data Scientist to contribute to innovative data analysis and machine learning initiatives. You will play a vital role in optimizing key performance metrics and developing scalable data solutions while enjoying benefits like flexible working hours and a generous vacation package.

Benefits

30 days of paid vacation
Public transportation tickets
Annual education budget of €1,500
Workation opportunities
Access to gyms and spas
Monthly team lunches
Flexible working hours
Exclusive discounts for brands
Diverse cultural team
Socializing area at work

Qualifications

  • 2-5 years experience in data science methodologies in production.
  • Experience in building scalable data pipelines.
  • Ability to deploy machine learning models.

Responsibilities

  • Conduct deep-dive exploratory data analysis to identify trends.
  • Design and develop machine learning models for analytics.
  • Build and maintain scalable data pipelines.

Skills

Data analysis
Machine learning
SQL
Data engineering
Collaboration
Problem-solving

Education

Degree in a relevant field

Tools

Spark
Databricks
Scikit-learn
PyTorch
Job description
Your mission

You actively shape your position, we want you to get involved and contribute ideas!

Exploratory Data Analysis & Insights

  • Conduct deep-dive exploratory data analysis (EDA) to identify trends, predict user behavior and optimize key performance metrics (e.g., retention, ROAS).

    Machine Learning & Predictive Analytics
  • Design, develop, and deploy advanced machine learning models for predictive analytics, recommendation systems and anomaly detection.
  • Optimize data-driven strategies through AI/ML applications.

    Data Engineering & Pipeline Development
  • Build and maintain scalable data pipelines for data ingestion, transformation and high-quality model inputs.

    A/B Testing & Experimentation
  • Design and execute rigorous A/B tests to validate hypotheses and assess the impact of new features.

    AI/ML Integration & Collaboration
  • Work closely with engineering and product teams to integrate AI/ML solutions into enterprise applications.
  • Ensure smooth deployment and scalability of machine learning models.

    Data-Driven Leadership & Best Practices
  • Act as a thought leader, promoting data-driven decision-making and implementing best practices across the company.
Your profile

Must-Haves

  • 2-5 years of applying data-science methodologies end-to-end in production (not just prototyping)
  • Built and maintained scalable data pipelines using Spark and Databricks for large-scale data ingestion and transformation
  • Deployed at least one machine-learning model (Scikit-learn, PyTorch) into a production API or streaming pipeline
  • Authored complex SQL for analytics and ETL on modern data warehouses
  • Translated sophisticated mathematical and ML concepts into clear, actionable insights for both technical and non-technical stakeholders
  • Demonstrated strong problem-solving skills and a collaborative, team-first mindset

    Nice to Haves
  • Familiarity with advanced experimentation techniques (causal inference, A/B testing, media mix modeling).
  • Experience with deep learning and time series forecasting for business applications.
  • Hands-on experience with ML monitoring tools (e.g., MLflow).
  • Background in AdTech or marketing analytics.
Why us?

  • Work-Life Balance: 30 days of paid vacation.
  • Commuter Benefits: Public transportation tickets provided.
  • Professional Development: Annual education budget of €1,500.
  • Workation Opportunities: Combine work and vacation annually.
  • Wellness: Access to over 7,000 gyms and spas in Germany through Wellpass.
  • Catering: Monthly team lunches, daily fruits, vegetables, and a variety of beverages.
  • Flexibility: Flexible working hours and hybrid work model.
  • Corporate Benefits: Exclusive discounts for major brands and platforms.
  • Diversity: Join an international team with diverse cultural backgrounds.
  • Fun and Games: Socializing area for relaxing activities during the workday.Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday! :)
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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