Job Opportunity: Data Scientist (Python)

We're a Melbourne-based startup that uses machine learning, data mining and natural language processing to augment creativity and content creation. We're passionate about how traditional creative techniques and emerging technologies can combine to inspire people, help them make things and enjoy their work more. Our tools will offer an exploratory and playful approach for those working in commercial creativity in areas such as advertising, social media and content marketing.

Role summary

We're looking for a data scientist to join our team and help deliver our intelligent Creative Assistant app.

Reporting directly to the CTO, you’ll be responsible for building the data platform, working with the rest of the team to integrate advanced NLP & machine learning models into our product.

About you

You’re an experienced data scientist who enjoys applying your broad skills, creativity and knowledge to new challenges.

You're inquisitive, always learning, and are fascinated by the growing power of data and artificial intelligence to solve new problems, especially at the interface point between human and machine.

You'll have:  

  • Strong programming ability in Python and the typical data science stack

  • Recent experience with NLP, for tasks such as semantic understanding, summarisation and text generation

  • Experience working with large scale unstructured text data such as social media content

  • Word embeddings for language modelling in spaCy or Gensim

  • ML frameworks such as PyTorch, TensorFlow or similar

  • Experience delivering good working code to production environments

  • Hands on experience setting up a data pipeline for ML applications

  • Solid theoretical knowledge of mathematical principles

  • Tertiary degree in a related field

  • A knack for creative problem solving through rapid prototyping and experimentation

If this sounds like you, and you want to be part of an exciting early stage startup with big ideas, get in touch and introduce yourself. We look forward to your application via

Thank you for your consideration :)