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Delivery-Jobs in Deutschland

Data Scientist - (Logistics, Seamless Deliveries)

Delivery Hero SE

Berlin
Hybrid
EUR 60.000 - 90.000
Heute
Sei unter den ersten Bewerbenden
Ich möchte über neue Stellenangebote mit dem Stichwort „Delivery“ benachrichtigt werden.

Agile Coach

CROWDCONSULTANTS 360 GmbH

Berlin
Remote
EUR 60.000 - 80.000
Heute
Sei unter den ersten Bewerbenden

Agile Delivery Manager (f/m/x) -Berlin

NETCONOMY

Ludwigsfelde
Hybrid
EUR 50.000 - 70.000
Heute
Sei unter den ersten Bewerbenden

Senior Growth Lead, Retail Media (Strategic Partnerships & GTM)

RxREVU, Inc.

Berlin
Hybrid
EUR 40.000 - 60.000
Vor 2 Tagen
Sei unter den ersten Bewerbenden

Senior Contracts Management Specialist

ECMWF

Bonn
Hybrid
EUR 65.000 - 85.000
Heute
Sei unter den ersten Bewerbenden
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Digital Delivery Manager (m/f/d)

RxREVU, Inc.

Frankfurt
Vor Ort
EUR 75.000 - 95.000
Heute
Sei unter den ersten Bewerbenden

IT Operations Manager - Print Services (FR/NL/EN)

Etinars

Aachen
Hybrid
EUR 60.000 - 80.000
Heute
Sei unter den ersten Bewerbenden

Team Lead Delivery Support Office (m/w/d)

Liebherr-IT Services GmbH

Kirchdorf an der Iller
Hybrid
EUR 70.000 - 90.000
Heute
Sei unter den ersten Bewerbenden
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Stryker Corporation

München
Vor Ort
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Client Technology SAP Technology Presales Architect

Hjem

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EUR 90.000 - 120.000
Vor 2 Tagen
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Amazon Deutschland: Amazon Zustellpartner / Selbständige Unternehmer (m/w/d)

Amazon Deutschland

Stuttgart
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EUR 15.000 - 3.500.000
Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Arup

Berlin
Vor Ort
EUR 80.000 - 100.000
Vor 2 Tagen
Sei unter den ersten Bewerbenden

Field Service Manager, West Germany (NRW)

PerkinElmer

Rodgau
Vor Ort
EUR 70.000 - 90.000
Heute
Sei unter den ersten Bewerbenden

Senior Project Manager - DTC Technology & Platform Rollouts

Stryker Corporation

Deutschland
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Heute
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Kelvion Holding GmbH

Wilchwitz
Vor Ort
EUR 40.000 - 55.000
Heute
Sei unter den ersten Bewerbenden

Sr Professional Services Project Manager

Stryker Corporation

Deutschland
Hybrid
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Avaloq AG

Berlin
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EUR 50.000 - 70.000
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Head of Enterprise Transformation

RxREVU, Inc.

Köln
Vor Ort
EUR 80.000 - 120.000
Vor 2 Tagen
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Process & Automation Architect (Global People Ops) (6 Month Contract)

RxREVU, Inc.

Berlin
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EUR 55.000 - 75.000
Vor 2 Tagen
Sei unter den ersten Bewerbenden

Talent Acquisition Specialist (12-month Maternity Leave Cover)

RxREVU, Inc.

Berlin
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EUR 45.000 - 60.000
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EUROGATE Group

Wilhelmshaven
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EUR 70.000 - 90.000
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Leiter Service Delivery Management für die Automobil- & Fertigungsindustrie (m/w/d)

Deutsche Telekom AG

Wolfsburg
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EUR 90.000 - 120.000
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Lead Engineer (all genders)

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EUR 80.000 - 100.000
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EUR 40.000 - 60.000
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Data Scientist - (Logistics, Seamless Deliveries)
Delivery Hero SE
Berlin
Hybrid
EUR 60.000 - 90.000
Vollzeit
Gestern
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading delivery platform in Berlin is seeking a Data Scientist to enhance customer experiences through advanced machine learning models. In this role, you'll develop predictive algorithms, analyze vast datasets, and collaborate with skilled professionals in an international environment. The ideal candidate has strong expertise in Python, SQL, and distributed cloud systems. Join us to create impactful solutions at the forefront of our growth journey.

Leistungen

27 days holiday
Educational Budget
Health Checkups
Gym & Bicycle Subsidy
Employee Share Purchase Plan
Digital Meal Vouchers

Qualifikationen

  • Expertise in building and training advanced machine learning models.
  • Fluent in SQL for data exploration and analysis.
  • Experience with distributed cloud systems and deployment.

Aufgaben

  • Develop and implement advanced machine learning models.
  • Analyze large-scale datasets for insights.
  • Mentor team members and foster a learning culture.

Kenntnisse

Machine learning techniques
Python data toolkit
SQL
Distributed cloud systems
MLOps practices

Tools

PyTorch
xgboost
lightgbm
Kubernetes
Docker
BigQuery
Jobbeschreibung

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

We are on the lookout for a Data Scientist to join the Seamless Deliveries domain of the Customer Logistics tribe in our mission to deliver consistently amazing customer experiences.

You will work alongside other data professionals designing and deploying advanced models to solve complex problems, delivering revenue for Delivery Hero at the frontline of our growth & profitability journey.

At Delivery Hero, we are exploring ways to optimize our delivery times and perfect our forecasting and estimation abilities. We are developing and enhancing a range of products to better predict delivery times, optimize fleet operations, and improve the customer ordering experience.

The Customer Logistics tribe’s mission is to build products that make it easy for local brands to run efficient operations and deliver a delightful order experience to customers so they order on repeat.

The tribe comprises teams of skilled analysts, engineers, and scientists working together to deliver data solutions affecting every customer journey across all of Delivery Hero’s 70+ markets.

If you're a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

  • Drive the development and implementation of advanced machine learning models for delivery time prediction, food prep time prediction, vendor consistency, etc. Collaborate with cross-functional teams to enhance the efficiency and performance of the machine learning models across the vertical.
  • Analyse large-scale datasets to understand and identify opportunities deploying sophisticated statistical techniques to improve decision making in Time Predictions.
  • Lead research initiatives to explore emerging trends and technologies in machine learning, contributing to the advancement of Delivery Hero's digital products and algorithms. Stay informed about industry developments and incorporate new methodologies and best practices into our data science workflows.
  • Serve as a subject matter expert in data science and machine learning, providing guidance and mentorship to other team members and fostering a culture of continuous learning and innovation within the data science team.
Qualifications
  • You excel at modelling business problems using machine learning techniques, covering feature engineering, model selection and design, as well as evaluation and optimisation to deliver value to the business.
  • Expertise in building and training advanced machine learning models with strong knowledge of the Python data toolkit, ideally centring around PyTorch, xgboost, and lightgbm.
  • Through the fluent use of SQL queries, you are able to explore our data universe and gather data to support your analysis and the development of machine learning solutions.
  • Have exposure to distributed cloud systems like Kubernetes, Docker Kafka etc.
  • You are familiar with deploying and developing in cloud systems, ideally with experience in GCP and BigQuery.
  • Experience deploying complex models to serve live traffic and collaborating with ML engineers in creating efficient systems that integrate ML models following good MLOps practices.
Additional Information
  • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
  • We offer 27 days holiday with an extra day on 2nd and 3rd year of service.
  • We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
  • Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy.
  • Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
  • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com include it in your application.

Severely disabled applicants with equal qualifications will be given preferential consideration.

You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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