Data Scientist - Senior Officer

  • 39501
  • Life - Data Science
  • |
  • Bermuda
  • |
  • Apr 25, 2021
Other
RESPONSIBILITIES
  • Translate business needs into requirements suitable for framing Machine Learning (ML) solutions
  • Create ML Models to uncover hidden and complex patterns, make predictions about future events and transform raw data into actionable insights.
  • Research, propose and prototype ML models to demonstrate and provide business value to solve specific business problems
  • Develop cutting edge text mining, text analytics and NLP Machine Learning Models
  • Develop assessment and monitoring procedures for ML models.
  • Design and perform meaningful Exploratory Data Analysis over different data sets
  • Design, develop, implement, and deploy ML Pipelines to deploy scalable ML solutions that are sustainable in an enterprise environment.
  • Design, development and implementation ML Model experiments using a scientific approach to configure, organize, log and reproduce experiments.
  • Operationalization of ML Models for automating and productizing the solutions.
  • Present information and insights using advanced and effective data visualization techniques
QUALIFICATIONS
  • 5-10+ years of cumulative work experience with 5+ years of data science experience, developing machine learning models, including deep learning models
  • Relevant certifications in data engineering, data science and data analytics are a plus
  • Leadership skills required to develop strategic data science initiatives, project development and management.
  • Expert Knowledge of Python Stack for Data Science and Advanced Data Analytics proficiency (Python 3 standard Library, Pandas, Numpy, Matplotlib, Seaborn, Sckit-Learn) or equivalent tools in other languages (R, Spark, Scala, Julia)
  • Expert Knowledge of Machine Learning algorithms, including Deep Learning
  • Working Knowledge of TensorFlow, Keras, PyTorch
  • Expert Knowledge of SQL Language
  • Expert Knowledge of Statistical Analysis, Quantitative Analysis, Multivariate Calculus and Linear Algebra
  • Expert Knowledge of deployment of Machine Learning implementations in an enterprise setting
  • Working/Expert Knowledge of Text Analytics, NLP, IDP for modelling and processing from the creation of the dataset to the final model in production
  • Hands-on experience in Enterprise Level Operationalization of Machine Learning Models
  • Expert knowledge of data pre-processing and manipulation skills, as well as feature engineering
  • Working knowledge in multiple tools/language/frameworks within the Big Data (Hadoop, Spark, Hive, MongoDB, Neo4j, Hbase, Cassandra) is desirable
  • Working knowledge of parallel computation and other High Performance Computing techniques
  • Working knowledge of Cloud Platforms (e.g. Azure / IBM / Google / AWS) and ability to use them for developing, training and testing deep learning models
  • Working knowledge of full end to end software development life cycle and agile development methodologies
  • Experience of working with teams operating in an Agile environment
  • Strong software engineering background and understanding of the principles of data strategy and architecture
  • Strong working knowledge with distributed version-control system practices such as Git and GitHub
  • Expert Knowledge of Data Storytelling and Data Visualization
  • Analytical and Critical thinking
  • Inquisitiveness to look beyond and discover patterns and solutions within the data.
  • Strong Interpersonal and communication skills
  • Ability to work in a fast-paced environment, handling multiple priorities