Senior Data Scientist, Pricing (Retail Platforms)

Key Skills

Apache Airflow, Apache Kafka, Docker, Kubernetes-K8s, Looker, MLflow, Pricing analytics, Python Programming, Seldon, Snowflake, SPARK Programming, SQL

Job Description

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 24 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, Looker, Flyte, Seldon Core, Airflow, MLflow and Kafka to get the job done, and constantly looking for ways to improve how our data scientists work. 

We are looking for a data scientist to be embedded into our cross-functional Retail Platforms Pricing team, working together with engineers, product and analytics people, focusing on improving our pricing algorithms. The team is responsible for helping Wolt Market earn customer trust through attractive prices & discounts, especially on key value items that impact price perception disproportionately. Examples of the projects that we are excited about and would love to see you contribute towards include improving our pricing algorithms with machine learning, improving our experimentation platform for pricing, and markdown optimisation.

You wonder what Wolt Market is? It is a chain of dark grocery stores available on Wolt’s well known delivery platform. Wolt Market delivers groceries to our users within 30 minutes. Last year we took a leap forward with a dedicated product offering for Wolt Market - Retail Platforms. We successfully built from scratch several teams of talented Engineers, Product Leads and Designers building internal tooling within the areas like warehousing, assortment, catalog and pricing.

Also, to learn more about Wolt, be sure to check out Machine learning at Wolt - our journey towards MLOps, our Wolt Algorithmic Transparency Report, and Wolt Tech Talks. 

Our humble expectations

 Our humble expectations:

You have plenty of hands-on experience with production-level data science projects — from prototyping to deploying and maintaining and improving production-ready solutions (i.e. ability and interest to handle a use case end to end) and prior exposure in working with automated pricing systems at scale.

You have deep understanding and experience with pricing domain and machine learning, and a solid understanding of statistics.

You have developed pricing models with practical applications and clear business impact before. For you, pricing is not something you’ve done before amongst other things, it is a domain where you are, and want to be, an expert.

You’ve got knowledge of experimental design and analysis methods used in price testing (product based randomisation, synthetic control, difference-in-differences), 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.

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. Can-do and proactive knowledge sharing attitude.

Ideally, you’ll also have a degree in a field relevant to data science.