Data Science Engineer (f/m/d)
- Város
- Wien
- Cégnév
- Prewave GmbH
- Céginfo
- 27 állás a cégnél
- Cég címe
- None None
- Cég weboldal
- http://www.prewave.ai
- Cég link
- https://at.indeed.com/cmp/Prewave-Gmbh
- Hirdetés aktiválása
- April 25, 2024, 7:41 p.m.
- Hirdetés utoljára aktív
- Aug. 20, 2024, 1:24 p.m.
- Link
- https://at.indeed.com/viewjob?jk=05a95e654b01faa8

- java
- 5
- python
- -10
Farkas Kiss Endre legjobb állása Prewave GmbH
Prewave GmbH email
743info@prewave.ai;infosec@prewave.ai;info@prewave.ai
Email tárgya
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