• Gender:   No Difference

• • MUST HAVE 5+ years relevant commercial experience with a detailed understanding of scoping, designing, implementing and deploying machinelearning models.
  • Solid understanding of fundamental concepts in Machine Learning
  • Knowledge of Linear Algebra, Probability Theory, Statistics, Calculus and Optimization
  • Expertise in Deep Learning and its applications to at least one of the areas of Personalisation, Computer Vision, NLP, Time Series Prediction, etc.
  •  Experience working with massive amounts of user behaviour data
  • Data processing and analytics skills such as data visualization, data modelling, cleaning and validation
  • Proficiency in code development with Python (Scala or Java is a plus)
  • Expertise in development and deployment of machine learning models with TensorFlow or PyTorch.
  •  Proficiency in python data science libraries such as NumPy, Pandas, Matplotlib, etc.
  • Knowledge of AWS, GCP or Azure ecosystem with strong preference for AWS.
  • Skills in Apache Spark or MapReduce and Airflow are Plus

Tasks

As part of the Team Group, you’ll have the opportunity to work with all our areas to design data solutions
across all aspects of our property ecosystem.
What we’re after:
● The Head of Data Science is responsible for the creation of new data sciences capabilities for the
business by envisioning and executing strategies that will influence improvement of the business’s
performance by enabling informed decision making and ensuring proper execution of duties and
alignment with the business’s overall vision.
● Ability to properly communicate with stakeholders and translate business requirements to data
science problem definition.
● You will work directly with business users from Marketing, Strategy, Tech and Product. You can
also write good quality code and deploy and scale models in production cloud environments, using
Python, SQL and AWS.
● Ability to design solutions for data science and engineering problems and plan for their execution.
● Leadership and mentorship skills.
● You’re at ease working with data, at the detail, and conceptually;
● Present information using data visualisation techniques;
● Deep understanding of computer science fundamentals including data structures, algorithms, and
concurrency.
● Strong in doing research and learning best solutions/practices in the areas of Machine Learning
(theories and practices) and communicating them to others.