Data Scientist / Senior Data Scientist / Officer / Assistant Director

  • 39523
  • Life - Data Science
  • |
  • Bermuda
  • |
  • Jun 1, 2021
  • Translating business needs into requirements suitable for framing Machine Learning (ML) solutions
  • Creating ML Models to uncover hidden and complex patterns, make predictions about future events and transform raw data into actionable insights. Models may include predictions and forecasts, text analytics and NLP, as well as unsupervised tasks such as anomaly detection.
  • Researching, proposing and prototyping ML models to demonstrate and provide business value to solve specific business problems
  • Designing, developing and implementing ML Model experiments using a scientific approach to configure, organize, log and reproduce experiments.
  • Designing, developing, implementing, and deploying ML Pipelines to deploy scalable ML solutions that are sustainable in an enterprise environment.
  • Developing assessment and monitoring procedures for ML models.
  • Designing and performing meaningful Exploratory Data Analysis over different data sets.
  • Presenting and communicating information and insights using advanced and effective data visualization techniques.
  • A Bachelor’s Degree or equivalent qualification in Computer Science, Mathematics, Statistics or related field from a recognized institution or professional body
  • A minimum of five years’ related experience in developing machine learning models including deep learning models
  • Strong experience in Data Science and Advanced Data Analytics using statistical computer languages (i.e. R, Python Stack, SQL) to manipulate data and draw insights from large data sets
  • Capable of performing statistical analysis, quantitative analysis, multivariate calculus and linear algebra
  • Proficient with the deployment of Machine Learning implementations in an enterprise setting
  • Proven skills with Text Analytics, NLP, IDP for modelling and processing from the creation of the dataset to the final model in production.
  • Competent conducting data pre-processing and manipulation skills, as well as feature engineering
  • Skillful in Data Storytelling and Data Visualization
  • Leadership skills required to develop strategic data science initiatives, project development and management
  • Strong interpersonal and communication skills
  • Display solid analytical and critical thinking
  • Ability to work in a fast-paced environment, handling multiple priorities.