Apache Airflow, Apache Kafka, AWS, Database, Docker, Jenkins, Kubernetes-K8s, Looker, Machine learning techniques, MLflow, Python Programming, Seldon, Snowflake, SPARK Programming, SQL
Data Scientists at Wolt are working with machine learning for the most important processes and parts of Wolt’s online delivery platform and business operations that affect all the 23 countries we operate in. The work consists of owning machine learning use cases as part of a product or business team; starting from identifying opportunities, to developing and prototyping a solution, all the way to deploying, maintaining, and improving a production-ready solution inside of the embedded product team. We use a variety of technologies and tools including Python, SQL, Spark, Docker and K8s, Snowflake, AWS, Flyte, Seldon Core, Airflow, MLflow, Kafka, Jenkins, and Looker to get the job done, and constantly looking for ways to improve how our data scientists work.
As a Data Scientist, you’ll be embedded in one of our product/ business teams and focus on and own that specific area together with a cross-functional product team. You’ll closely collaborate with Product Leads, Engineers, Designers, and fellow Data Scientists and Product Data Analysts. Some examples of areas with coming openings are forecasting & optimization, recommendations & personalization, pricing, operations & logistics. These teams for example develop:
different time estimate models used throughout the delivery process, such as ETAs
approaches to forecast and influence supply (courier availability) and demand (orders)
approaches to personalise and improve how customers engage with and find our content (e.g. restaurants, stores and retail items)
models and solutions needed to personalise the search experience
machine learning models for managing advertisements, e.g. conversion prediction for content
Also, be sure to check out Machine learning at Wolt - our journey towards MLOps, our Wolt Algorithmic Transparency Report, and Wolt Tech Talks to learn more.
Our humble expectations
You’ve got knowledge of experimental design and analysis, as well as A/B testing
You’ll have fluent programming skills in Python, which is our main language for data science projects, and experience with databases (SQL)
You’re comfortable with a long enough list of buzzw… tools and technologies to be effective in your role. Some of the technologies we work with are mentioned in the beginning of this ad.
Ideally, you’ll also have a degree in a field relevant to data science
You’re analytical and curious, we’re looking for a self-starter with a drive to get things done. Also as well a good communicator, willing to collaborate with people in- and outside of the team
Our offering to you
Small yet growing data science team around you so there will be plenty of opportunities for you to grow as a Data Scientist.
You can choose the location from our tech hubs Helsinki or Berlin, or you can work entirely remotely anywhere in Finland, Sweden and Estonia. You have the chance to decide the ways of working —· a hybrid, at the office, or remote within the location above. Read more about our remote setup.
In addition to our country-specific benefits, our compensation package includes a monthly salary based on your expertise and stock options. .
At Wolt, you’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Read more about how we work.
Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. We're based in Helsinki and operate in 23 countries and 129+ cities across EMEA, bringing together over 60,000 couriers and 30,000 restaurants.
Kalyani Nagar, Pune, Maharashtra, India
2-4 year
Kalyani Nagar, Pune, Maharashtra, India
2-4 year
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2-4 year
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2-4 year
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2-4 year
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2-4 year