Senior Data Scientist

We’re on the lookout for a Senior Data Scientist who has great social skills, initiative, and integrity. Ideal candidates will have exceptional business judgment and quantitative analytic ability. Our Senior Data Scientist will play a key part of the Deanta strategy and will work closely with our proprietary project management and content editing system called Lanstad.

Job responsibilities include:

• Apply advanced data science, AI and machine learning techniques to solve challenging real-world problems in the areas of system performance and linguistic programming.
• Engage in on-going learning to identify and develop valuable new sources of data and machine learning technologies with applicability to Deanta’s product and solution roadmap.
• Work with customer-facing platforms and teams to understand and meet the needs of Deanta’s clients and end-users.
• Collaborate with product development teams and contribute to product design, development, delivery and support.
• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Utilise statistical natural language processing to mine unstructured data, and create insights; analyse and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses.
• Build document clustering, topic analysis, topic modelling, text classification, named entity recognition, sentiment analysis, and part-of-speech tagging methods for unstructured and semi- structured data.
• Perform elements of data cleaning, feature selection and feature engineering and organise experiments in conjunction with best practices.
• Creating dynamic decision making processes and trying to predict future events from the historical data.
• Benchmark, apply, and test algorithms against success metrics.
• Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Visualise data to tell compelling stories.
• Leading the planning and implementation of data science projects.
• Coordinating project staff.

• Masters degree in computer science, mathematics, statistics, or a related technical discipline.
• 2+ years of experience in machine learning, data science, or applied scientist roles.
• A proven track record of designing and implementing successful machine learning solutions for real-world problems.
• Experienced with NLP.
• Excellent programming skills in Python.
• Advanced working knowledge of machine learning modelling/computation frameworks such as scikit-learn, spacy, TensorFlow, NLTK.
• Demonstrated ability to work independently, rapidly prototyping and testing new ideas.
• Excellent communication skills to present, explain, and articulate technical works to technical colleagues as well as non-technical audience.