Specialist, Data Scientist - Marketing

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.

What you'll be doing

• 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.

Perks and benefits

• 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, Yoga, 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.