Data Scientist 

Zagreb  |  Remote

WHO ARE WE LOOKING FOR

If you enjoy making sense out of large amounts of Porsche vehicle data and finding meaningful and actionable insights that are used for data-driven engineering—apply now! 

We work on big data collected from various data sources within car company – mostly vehicle data. With advanced analytics and AI we get insights that bring new business value and define Porsche product development strategy. 

We need support for our existing Analytics team. As our colleague you will be working on real automotive industry challenges and solve them using advanced analytics. 



01

Qualifications & Experience

a university degree in computer science, mathematics, physics, statistics, or related fields

in-depth understanding of statistics, data analytics, machine learning, and a good understanding of IT 

solid knowledge of Python, SQL, and data processing  

experience working in Cloudera (ML Workspace), Spark, and Apache Big Data stack 

experience with visualizing data using visual analytics tools (e.g., Tableau, Data Studio, Qlik)  

strong affinity toward technical topics and IT system operations 

ability to prioritize and manage work in a fast-paced environment  

basic understanding of safety, security, privacy, and legal issues relevant to customer data 

strong communication and data presentation skills with the ability to effectively communicate project status and results

excellent command of written and spoken English 

above-average decision-making and problem-solving skills 


02

Your responsibilities

communicating predictions and findings through effective data visualizations and reports 

finding patterns and relationships in data  

using advanced statistical methods and mathematical models to prepare data for use in prediction and interpretation  

working on a huge amount of data on a day-to-day basis and finding insights in data  

providing different types of ad hoc and ongoing analysis to different business stakeholders  

approaching high-level challenges with a clear eye on what is important  

presenting your techniques and discoveries to technical and non-technical audiences in a language they can understand 

generating interesting research questions that will enhance our understanding of the matter at hand

working with the technology team on delivering the scope that generates business value 

collaborating with project members with different backgrounds on a daily basis 

proactively communicating with other team members and project stakeholders

Tools
we use

Spark

We use Spark as a unified analytics engine for large-scale data processing.

Qlik

We use the Qlik suite to transform raw data into actionable insights in order to make smarter decisions and drive better outcomes.

Kafka

We use Kafka to build real-time streaming data pipelines that reliably get data between systems or applications.

Jupyter

A deck of open tools and standards we use for education, research, and data analytics.

TensorFlow

The end-to-end open source machine learning platform of our choice.  Impala—a native analytic database for Apache Hadoop. Impala provides low latency and high concurrency for BI/analytic queries. 

GitHub

All our work is on GitHub. Everything goes through pull requests and code reviews with your future team members.

Miro

We use Miro as a visual collaboration platform to share ideas and communicate across the team.

MSO 365

O365 helps us get our work done and communicate on a daily basis, from networking to data sharing.

Slack

We use Slack for work and fun. It’s our go-to tool for maintaining sanity both in the office and remotely.

What do we offer?

Learning & development

In our bi-weekly one-on-one talks and quarterly 360 reviews, we discuss what’s good and what could be better.

Versatile projects

Our teams get to work on very interesting projects for renowned brands and clients from a range of industries.

Contributing to open source

Sharing is caring doesn’t only apply to chocolate.

Educational budget

If you’re eager to learn, we’re eager to help. Every employee receives an educational budget.

Paid language courses

Paid language courses help our employees master the English language.

Doing a career switch

We don’t have a sorting hat to tell you where you belong, but we will support your career switch from one job position to another.

Traveling on business

Having clients all over the world means our employees sometimes have to travel to and work from beautiful locations.

Subsidized recreation

Stay in shape with a sponsored fitness membership of your choice.

Sponsored health checks

You know the old saying – the greatest wealth is health.

Working remotely

Office location? Anywhere. It’s all about flexibility.

Free power-ups

Snack on fruit, cookies, and nuts to keep your energy levels up.

Car and bike parking

Don’t let it get caught in the rain. We offer free parking for bicycles and subsidized car parking.

Flexible working hours

Tailor your working hours to fit your schedule.

Fun and games budget

Every team gets a monthly budget to hang out and do fun stuff.

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EXPLORE OUR WORK

Interested in our projects?