Staff Data Scientist - (Adtech, Machine Learning)
Staff Data Scientist - (Adtech, Machine Learning)
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Job Description
We are on the lookout for Staff Data Scientists to join the AdTech data science team (machine learning) on our journey to always deliver amazing experiences.
As part of our Vendor Team youll be the driving force behind the success of thousands of restaurants shops and local businesses. Your contributions will empower vendors with advanced tools to manage their operations boosting their visibility and reach. Every feature you help build will create growth opportunities for businesses of all sizes strengthening Delivery Heros ecosystem and impact.
At Delivery Hero AdTech introduces people to new food they love and enables our partners to meet their future customers at the perfect moment. We have developed a range of products to offer advertising solutions for restaurants helping them to increase their visibility and reach improve their order conversion and eventually drive more sales by covering the entire marketing funnel. Operating across over 50 countries around the clock our Ad Tech connects the ideal advertiser with the ideal customer millions of times every day. In 2024/25 Ad Tech is a fundamental area for us on our path to profitability and is predicted to generate more than 1 billion euros in revenue for Delivery Hero; our data science team is at the heart of this growth powering personalisation relevance and recommendation.
You will be a thought leader driving innovation by designing and deploying our models to the forefront of technology to solve complex problems delivering revenue for Delivery Hero at the frontline of our growth & profitability journey.
If youre a creative problem solver who is hungry for a new adventure an international workplace is waiting for you in the heart of Berlin!
Spearhead a revolution of Ad Tech at Delivery Hero through the innovative application of cutting edge tools and techniques ranging from classical ML to deep neural networks and reinforcement learning covering areas such as ad ranking bidding strategies booked budget increment and ad pacing driving uplifts in advertising revenue
Analyse largescale datasets to understand and identify opportunities deploying sophisticated statistical techniques to improve ad relevance clickthrough rates and conversion metrics.
Lead research initiatives to explore emerging trends and technologies in AdTech and machine learning contributing to the advancement of Delivery Heros advertising products and algorithms. Remain at the forefront of industry and research developments incorporating new methodologies and best practices into our data science workflows and models.
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 are an industryleading talent at modelling business problems using machine learning techniques covering feature engineering model selection and design as well as evaluation and optimisation to deliver enormous value to the business.
You raise the performance of other team members through effective and mature mentorship and constructive collaboration to benefit others from your deep understanding and experience of data science.
You have extensive experience and expertise in building training evaluating and deploying CatBoost GBM XGB with a deep focus on EDA feature engineering feature selection and model optimisation
Through the seamless 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 productionlevel code and are able to effectively set up your environment to minimise testing loops influencing the entire team to work more efficiently and reliably.
You are familiar with deploying and developing largescale machine learning models to serve live traffic and experience collaborating with ML engineers in cloud systems ideally GCP.
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 a variety of teams in a diverse environment.
Nice to have:
machine learning solutions to maximise advertiser value and platform ad revenue would be highly desirable
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 facetoface 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 mindboosting 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 :
Fulltime
Employment Type
Full-time
