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Data Scientist - Marketing

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Delivery Hero

23d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Marketing
  • Berlin

AI generated summary

  • You excel in machine learning, possess strong business acumen, know various analytics methods, are skilled in Python and SQL, and can communicate complex insights clearly.
  • You will analyze customer data, develop models, drive marketing strategies, and establish best practices to enhance decision-making and performance across brands.

Requirements

  • 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.
  • Strong business acumen: the ability to look at a business problem and translate it into data, as well as the ability to transform the results of an analysis into practical insights and operational recommendations.
  • Knowledge of a wide variety of analytics and Statistical methods (for ex: Causal inference, Clustering, and Propensity Modeling) and their pros-cons. Ability to identify the best approach and methods suitable for a problem.
  • You have expertise in building and training machine learning models with strong knowledge of the Python data toolkit ideally centring 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.
  • Effective communication and ability to explain complex work in simple terms to team members and stakeholders, as well as visualize data to reinforce insights.

Responsibilities

  • You will drive the decision-making process on Marketing topics such as customer acquisition, retention or upselling across all Delivery Hero brands by using analytics, statistics, visualization and data science
  • You will work closely with the wider Marketing teams to drive innovation by analyzing customer data, prototyping solutions and models, and establishing steering metrics
  • Drive the development and implementation of statistical, machine learning, and optimization models for choice optimization, rider fleet busyness and travel time prediction, and demand control. 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 by deploying sophisticated statistical techniques to improve decision-making in the domain
  • Define and drive the best practices of analytics and statistics within the Marketing and product analytics domain as well as be the guardian of these best practices in front of stakeholders

FAQs

What is the primary focus of the Data Scientist - Marketing role?

The primary focus is to drive decision-making in marketing topics such as customer acquisition, retention, and upselling by using analytics, statistics, visualization, and data science.

What tools and technologies are expected to be used in this role?

The expected tools and technologies include Python, specifically the data toolkit around Pandas, SQL, Sklearn, and PySpark.

Is there an opportunity for career development in this position?

Yes, the company offers support for career growth, including an educational budget, language courses, and access to the Udemy Business platform for online courses.

What kind of datasets will I be analyzing?

You will be analyzing large-scale datasets to identify opportunities and improve decision-making in marketing through sophisticated statistical techniques.

How can I expect to collaborate with other teams in this role?

You will work closely with wider marketing teams to drive innovation by analyzing customer data, prototyping solutions and models, and establishing steering metrics.

What are the core responsibilities of this role?

Core responsibilities include developing and implementing statistical, machine learning, and optimization models, as well as defining best practices for analytics within marketing and product analytics.

How many vacation days do employees receive?

Employees receive 27 days of holiday, with an additional day off in the 2nd and 3rd years of service.

What benefits does Delivery Hero offer for employee well-being?

Benefits include health checkups, meditation, yoga, gym and bicycle subsidies, as well as various meal vouchers and corporate discounts.

Is there a focus on diversity and inclusion at Delivery Hero?

Yes, Delivery Hero believes that diversity and inclusion are key to creating an exciting product and an amazing employee experience. They foster this through inclusive hiring practices.

What types of marketing topics will I engage with?

You will engage with marketing topics such as customer acquisition, retention, and upselling through analytical methods.

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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.