Data Science Engineer (f/m/d)

Farkas Kiss Endre legjobb állása Prewave GmbH

743info@prewave.ai;infosec@prewave.ai;info@prewave.ai

Bewerbung fur Senior Full-Stack Software Engineer (f/m/d)

Levél szövege

Lieber Prewave GmbH!

Ich möchte mich bei Ihrem Unternehmen als Data Science Engineer (f/m/d) bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

About Prewave

Do you want to be part of one of the fastest-growing AI companies in Supply Chain Risk Management?
At Prewave, we are dedicated to unlocking an unprecedented level of efficiency, transparency and resilience in the supply chain for our customers. We pioneer supply chain risk management with our AI-powered solutions, analysing traditional and social media in 50+ languages and predicting risks and disruptions all over the world. We help our clients to achieve a sustainable supply chain and to prevent any setbacks.
We are already trusted partners of AbInBev, BMW, Kärcher, PwC, Porsche and many more. With the increasing importance and attention to supply chain due diligence in Europe, we grow every day, and so does our team!
We are looking for a Data Science Engineer in our Data Science team to join us on this exciting journey!

Your mission

As our Data Science Engineer at Prewave, you will…

Analyze and understand our large variety of data using natural language processing
Independently derives learnings, generates hypotheses and identifies optimization potentials
Uses and develops machine learning technologies like Torch and Tensorflow
Transfers and maintains developed solutions in a productive environment
Manage, monitor and upgrade the performance and precision of your models
Identify and integrate new data sources
Work with cross-functional teams to identify business issues, develop analytical fixes and put into practise

Your profile

Must haves

Bachelor’s degree (or higher) in Computer Science, Statistics, Mathematics or related fields
3+ years of experience in a data science environment
Experience with NLP or other machine learning technologies
Good experience in working with Python or a JVM based language (Java, Scala, Kotlin,...)
Experience with machine learning techniques and tools like Torch or Tensorflow
Knowledge of SQL and relational databases

Bonus points for

Master’s degree in a related field
Familiarity with Scala in software development environments
Understanding of cloud-based services, especially Google Cloud Platform or AWS
Knowledge of NoSQL database systems
Knowledge of agile software development techniques

What we offer you

An extensive compensation package According to our collective agreement, the minimum salary for this role is EUR 2,854 gross per month, however the higher packages are likely based on your qualifications and experience.
A dynamic team in an open and inclusive work atmosphere As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re dedicated to building teams with a wide variety of backgrounds, identities, and experiences.
Various opportunities to develop your career within the company We are committed to building our team spirit based on mutual respect and support. We help each other achieve personal and shared goals.
Opportunity to be part of a highly innovative Austrian tech startup We blaze the trail in our field, and we strive to help large firms ensure ethical and sustainable practices throughout their entire supply-chain processes.
A family-friendly environment We offer flexible working hours and home-office possibilities to support a healthy

About us
We, at Prewave, take pride in encouraging and ensuring a sustainable, transparent and resilient supply chain for all. In our platform, our clients can utilise several tools to understand, analyse and anticipate any risks coming their way. We are using AI technologies to identify and predict these risks. Our passion for more ethical business practices carried us to be one of top 10 startups in Austria in 2022 by LinkedIn, the best idea spot in 2023, and #7 in best startups list in Austria in 2024 by Trend Magazine. We are based in Vienna, Austria, and we already have our first office in Paris. We enjoy our work with our team members from all around the world. We are a huge community from more than 35 nationalities already, and counting! If you crave to belong to a fast-moving and diverse environment, we are one click away. Let's start chatting!