Data Scientist

at  Apiax AG

Do you want to become a part of an experienced and highly motivated team? Do you want to have a meaningful impact in the financial services industry? If so, then we have a great opportunity for you.
We’re looking for a Data Scientist to join our Embedded Compliance company.
You’re a strong team player, proactive with an entrepreneurial mindset. You solve problems with a positive, “can-do” attitude and you’re used to analyzing multiple scenarios and selecting the most suitable path. If you’re also a fast learner and passionate about technology, you’re the perfect candidate for our Embedded Compliance company.
Tasks

REQUIREMENTS:

• Background in engineering, data science, or linguistics
• Experience with data pipelines, model validation and downstream testing
• Experience in Natural Language Processing and working with language data
• Understanding and experience in Python and computational/NLP libraries like Numpy, Tensorflow, PyTorch, NLTK, Spacy and Jupyter
• Basic understanding of deep learning, knowledge representation and reasoning
• Experience in industrial data processing and machine learning architecture is a strong plus (Spark, Airflow, UIMA)
• Experience with graph databases, knowledge graphs, ontologies or logic programming is a strong plus (Neo4j, Stardog, TypeDB, OWL, Prolog)
• Excellent interpersonal and communication skills with a good command of written and spoken English. German would also be an advantage
• Work permit for EU.
  Benefits

WHAT WE OFFER YOU:

• 20-months contract
• Develop state-of-the-art machine learning and AI solutions for products
• Plenty of room to advance and learn and apply new technologies
• Flexible work arrangements
• Family-friendly and inclusive work environment
• Passionate people around an exciting global product
• A team with an entrepreneurial mindset, hunger for speed, and immediate results.
  Become an Apiaxonad(at) and be a part of something big.
  We’re looking forward to meeting you

• Apply state-of-the-art AI and Deep Learning technologies to new product features
• Define and adapt our Natural Language Processing (NLP) architecture
• Build robust, industrial-scale data processing pipelines
• Contribute to multiple stages of development, from the implementation of the latest research technologies to product development
• Validate and test models in downstream tasks
  Requirements