Data Scientist / Data Engineer WomenHack Talentpool

Thank you for attending WomenHack! We appreciate your interest in our Data Scientist and/or Data Engineer openings.

We are currently hiring for three teams: Digital Experience, SSE, and SD-WAN.

To move forward, please send us your resume and provide the necessary information to complete your application. We will review your submission and get back to you as soon as possible.

Below, you’ll find some details about the typical work our Data Scientists are involved in. This list is not exhaustive so if you are a Talented Data Scientist or Data Engineer please leave us your details anyway!

Looking forward to hearing from you!

Data Scientist sneak peek:

Key Responsibilities

• Language Model Development: Research, design, and develop advanced language models, including transformer-based architectures like BERT, GPT, and XLNet.
• NLP Application: Apply NLP techniques to solve complex business problems, such as sentiment analysis, text classification, named entity recognition, and language translation.
• Text Data Preprocessing: Clean, preprocess, and transform unstructured text data into a suitable format for analysis, ensuring data quality and consistency.
• LM Fine-tuning: Fine-tune pre-trained language models for specific tasks and domains, optimizing model performance and accuracy.
• Data Analysis: Conduct exploratory data analysis (EDA) on text data to uncover patterns, insights, and trends. Collaborate with data engineers to acquire and prepare relevant data.
• Model Evaluation: Develop and implement evaluation metrics and techniques to assess the performance of language models and NLP applications.
• NLP Algorithms: Research and implement state-of-the-art NLP algorithms and techniques, staying up-to-date with the latest advancements in the field.
• Collaboration: Collaborate with cross-functional teams, including data engineers, software engineers, and business analysts, to integrate NLP solutions into our products and services.
• Documentation: Maintain comprehensive documentation of LM and NLP models, methodologies, and processes for knowledge sharing within the team.

What we expect from you:

• Proven experience as a Data Scientist with a focus on Language Models and NLP, including experience with transformer models.
• Strong programming skills in languages such as Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Proficiency in NLP libraries and tools (NLTK, spaCy, Hugging Face Transformers, etc.).
• Knowledge of data analysis and visualization tools.
• ETH, university or FH degree in Computer Science or equivalent
• Fluent in English, German is a plus.

Furthermore, we expect basic knowledge and a high motivation to participate a coached training program in these areas:

• Knowledge of Linux operating systems
• Experience with managing Infrastructure as a Service resources of public cloud providers (Azure, AWS, GCP,...) with Terraform.
• You have a passion for sustainable software development and you gathered experiences in other technical positions already.
• In-depth knowledge and experience of at least one programming language: Python, Go, Scala, Java

What we offer:

Want to join a team that enjoys making secure connectivity simple for our customers? You’ll be among people who believe in: 

Caring PASSIONATELY about keeping our customers safe – We’re dedicated to solving problems. Whatever it takes. 

Thinking UNCONVENTIONALLY to stay ahead – The world never fails to surprise us. So let’s surprise it first. 

Doing the hard work to make things SIMPLE – Craft and hone something that delights in its simplicity. 

Working COLLABORATIVELY to build success – The power of the team will always make us faster and better. 

As a testament to this, Open Systems has been recognised as an outstanding place to work. You’ll be surrounded by smart teams who enrich your experience and provide opportunities you will need to develop your skills and advance your career.  

We look forward to receiving your online application (please note that you need to compress your application into two attachments). Only direct applications will be considered.