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Data Scientist - Time Estimations, Logistics (all genders)

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Delivery Hero

28d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Berlin

AI generated summary

  • You excel in machine learning, mentorship, and collaboration. Proficient in Python, SQL, and cloud systems, you write clean code, model business problems, and thrive in diverse teams.
  • You will develop machine learning models for time predictions, analyze datasets to improve decisions, lead research on trends, and mentor team members in data science and machine learning.

Requirements

  • You excel at modeling 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.
  • You enhance the performance of other team members through mentorship and constructive collaboration to benefit others from your deep understanding and experience of data science.
  • You have expertise in building and training advanced machine learning models with strong knowledge of the Python data toolkit ideally centering around Pandas, SQL, Sklearn, and PySpark.
  • 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.
  • You write clean, production-level code and effectively use software versioning with Git.
  • You are familiar with deploying and developing in cloud systems, ideally with experience in GCP and bigquery.
  • You love to learn, are a critical thinker and creative problem solver who strives for excellence.
  • You are a team player who loves to collaborate and work with stakeholders from different tech teams in a diverse environment.

Responsibilities

  • 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 in 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.

FAQs

What is the main focus of the Data Scientist role in this position?

The main focus is on designing and deploying advanced machine learning models to predict delivery times, optimize fleet operations, and enhance the customer ordering experience within the Seamless Deliveries domain.

What qualifications are required for this role?

Candidates should excel at modeling business problems with machine learning techniques, have expertise in Python data toolkit (including Pandas, SQL, Sklearn, and PySpark), the ability to write clean, production-level code, and experience with cloud systems, ideally GCP and BigQuery.

Is mentorship a part of this role?

Yes, serving as a subject matter expert and providing mentorship to other team members is an expected responsibility of the Data Scientist in this role.

What type of datasets will I be working with?

You will analyze large-scale datasets to identify opportunities and improve decision-making related to time predictions.

What kind of work environment can I expect?

You can expect an international workplace in the heart of Berlin that encourages collaboration among diverse teams in a creative and problem-solving-oriented environment.

Are there opportunities for career development in this role?

Yes, the company offers an educational budget for personal development, language courses, and parental support, encouraging continuous learning and career growth.

What are the hybrid working model requirements?

Employees are expected to join the team in the Berlin campus for face-to-face connection and collaboration at least 2 days a week.

Does the role require experience in logistics product development?

While not mandatory, experience in logistics product development is considered a great benefit for applicants.

What is the company’s stance on diversity and inclusion?

The company is committed to diversity and inclusion, ensuring that they do not discriminate based on various identities and support a respectful interview experience.

What kind of benefits does Delivery Hero offer?

Benefits include 27 days of holiday, health checkups, gym and bicycle subsidies, an employee share purchase plan, educational budget, meal vouchers, and more to ensure employee well-being.

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Delivery Hero

We build, We deliver, We lead.

Technology
Industry
10,001+
Employees

Mission & Purpose

As the world’s leading 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 but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent 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.