Data Scientist


At Schuberg Philis we help our customers actually deliver on the promise of digital transformation. Insights from data enrich decisions based on intuition and observation; for the better we believe. We continue to expand our focus on data for a growing number of customers, which is why we are currently looking for a Data Scientist to join us.

We keep our customers moving forward by designing, building and running their data landscapes. These landscapes are often developed in public cloud environments, but there is diversity in implementation: not all customers are the same. We have data lake environments on our own MCC (Mission Critical Cloud), AWS, Azure and more.

As a Data Scientist you will, together with your team, use data creatively to solve business challenges. More often than not uncovering new opportunities for improvement along the way. You will apply state-of-the-art modeling and quantitative techniques to mine, interpret en represent the data. Combining a keen insight into the customer's business with highly developed and hands-on skills in data transformation, validation and modeling you make inferences and offer advise based on insights from the data.

In this role you will:

  • Work closely with Business and end-users to define their core problems and translate these into data transformation and modeling solutions
  • Derive new insights from the data during data analysis, transformation and modeling and clearly communicate these with your stakeholders
  • Build algorithms and models and directly deploy them in production using native cloud environments like serverless functions (e.g. Lambda’s) and/or containers
  • Work closely with both data engineers and devops engineers in the implementation of use cases and required tools on a new data platform
  • Develop and maintain data pipelines
  • Work with tools like Sagemaker, Kinesis, S3, Lambda, Kafka, Redshift and Athena
  • Work with tooling such as Gitlab (CI/CD) and Terraform (Infra)
  • Be involved in the data standards and initiatives that we have set for our customers

On a team level you will be involved in the data strategy of the customer by developing or co-creating use cases that will be deployed on a data platform. This role encourages you to look beyond data alone: you have a team supporting the use of tools but you can deep dive into this as well - if you want.

Who are we looking for?

In this role you will thrive if you have the following experience:

  • Designing and building use cases providing business value, that is feasible (technically sound) and that includes the wow factor making it desired by end users
  • Used to working with large data sets in both data lakes (S3) and data warehouses (Redshift)
  • Good AWS knowledge, especially with the data related services
  • Good working experience with python & the data library ecosystem
  • Experience with structured data (SQL databases, dashboarding tools)
  • Building data pipelines in a cloud-native manner (e.g. S3, Lambda's, Glue, etc.)

To be able to bring a broader perspective to the role, the following experience is nice to have:

  • Experience with software development, particularly API's (Python)
  • Kafka, Kafka Connect, Spark and Glue
  • Terraform, Docker

What does a day at Schuberg Philis look like?

Our organization is designed to match the people we are. And our days can be as varied as the odd, beautiful, unique bouquet of human beings that Schuberg Philis actually is. What doesn’t vary, however, is our belief that IT can be a force for good in the world. We see this happen in our very own lives, day after day, moment by moment.

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We put experts in the lead

A state-of-the-art custom-fit IT solution is a job for our experts teamed up with our customer’s experts. We work together from start to finish to deliver on our own promises.

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Only one KPI matters

Our most valued key performance indicator is customer satisfaction. We see room for even a 0.01% improvement as another opportunity to get closer to 100%.

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Become who you are

We encourage each other to discover our true strengths and keep learning. Sometimes, we take a radically different direction than expected yet become happier along the way.

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Design and proof

Based on our understanding of customers’ challenges, we design a solution, experiment, and prototype. Rather than proof of concept, we refer to this as proof of value.

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We work how we want to work

We don’t hide our specialists or only call them in last minute. To us, it’s obvious that knowledgeable people need to be making decisions from the get-go.

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We work with advised consent

We share responsibility. That’s why our most important decisions require advised consent, with solutions first presented to colleagues and, if supported, reviewed by those impacted.

At Schuberg Philis we love to keep track of the latest and greatest tech that comes from Silicon Valley and our public cloud partners, so we can always pick the right tool for the job in the complex mission critical ecosystems. In our dream projects we can seamlessly integrate the newest tech into an existing landscape to create high quality environments that last.

Got excited?

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We would like to get to know you as much as you would like to get to know us. In a 5 to 6 step hiring process we will together find out if we are a match.

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