Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop advanced machine learning models for delivery time predictions and optimize operational efficiencies while collaborating closely with cross-functional teams to implement data-driven solutions.
Job Technologies
Your role in the team
- We are on the lookout for a Data Scientist to join the Seamless Deliveries domain of the Customer Logistics tribe in our mission to deliver consistently amazing customer experiences.
- You will work alongside other data professionals designing and deploying advanced models to solve complex problems, delivering revenue for Delivery Hero at the frontline of our growth & profitability journey.
- At Delivery Hero, we are exploring ways to optimize our delivery times and perfect our forecasting and estimation abilities.
- We are developing and enhancing a range of products to better predict delivery times, optimize fleet operations, and improve the customer ordering experience.
- The Customer Logistics tribe's mission is to build products that make it easy for local brands to run efficient operations and deliver a delightful order experience to customers so they order on repeat.
- The tribe comprises teams of skilled analysts, engineers, and scientists working together to deliver data solutions affecting every customer journey across all of Delivery Hero's 70+ markets.
- 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 across the vertical.
- Analyze 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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.
- Expertise in building and training advanced machine learning models with strong knowledge of the Python data toolkit, ideally centring around PyTorch, xgboost, and lightgbm.
- 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.
- Have exposure to distributed cloud systems like Kubernetes, Docker Kafka etc.
Experience
- You are familiar with deploying and developing in cloud systems, ideally with experience in GCP and BigQuery.
- Experience deploying complex models to serve live traffic and collaborating with ML engineers in creating efficient systems that integrate ML models following good MLOps practices.
This text has been machine translated. Show original
Benefits
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Delivery Hero SE
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
Description
- Founding year
- 2011
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(1 Review)3.2
Career Growth
3.2Culture
3.2Engineering
2.7Workingconditions
3.8
Data Scientist
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
