Specialist, Data Scientist - Marketing
Specialist, Data Scientist - Marketing
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Job Description
We are on the lookout for a Specialist Data Scientist - Marketing to join the Central Marketing Analytics Team on our journey to always deliver amazing experiences.
Join the team driving brand growth and customer engagement across our markets. As part of our Marketing Analytics Team youll help shape strategies that build customer loyalty and optimize the effectiveness of our marketing investments. With each model framework or analysis youll play a key role in creating connections with millions of customers positioning Delivery Hero as a leader in the market.
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.
Qualifications :
You excel at modelling business problems using machine learning techniques covering feature engineering model selection design evaluation and optimisation to deliver value to the business.
You have strong business acumen: the ability to look at a business problem and translate it into data as well as the ability to transform analysis results into practical insights and operational recommendations.
You possess knowledge of a wide variety of analytics and statistical methods (e.g Causal inference Clustering and Propensity Modelling) and their pros and cons. You can 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.
You have effective communication skills and the ability to explain complex work in simple terms to team members and stakeholders as well as visualize data to reinforce insights.
Additional Information :
Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.
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 well 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 youre excited to grow collaborate and be part of the worlds leading delivery platform wed 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 experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
