Senior Data Scientist

7 days ago

Canada Ayata Full time
Job Summary

Ayata is seeking an experienced Senior Data Scientist to develop machine learning models for business applications and build cloud-based AI software for predictive analytics business solutions.

Key Responsibilities
  • Lead model development, providing methodology, strategy, ideas, architect, and solutions for real-world, industrial-scale, and mission-critical business operations
  • Develop AI/ML models for business applications
  • Build and integrate models into a full-functioning AI business software
  • Interact with business clients, understand business requirements, propose AI software solutions to meet the business requirements, deliver and present AI software to clients
  • Understand the data set used for the modeling, prepare and preprocess data sets, train and test models and perform model feature engineering
  • Document data dictionary, data understanding, modeling strategy and approaches, and build the company's knowledge base of data and models
  • Communicate effectively with team members, management, and clients
Requirements
  • Proven ability to work with large structured and unstructured datasets
  • Demonstrable, hands-on experience in developing advanced analytics algorithms/models, including time series forecasting, machine learning and deep learning, image processing, natural language processing, and speech recognition
  • Excellent hands-on code development skills in Python
  • Good knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, MXnet, Scikit-Learn and cloud technology (Amazon, Azure, etc.)
  • Experience in Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing
  • PhD degree in Mathematics, Statistics, Computer Science, or related disciplines
  • At least 3 years of Artificial Intelligence experience
  • At least 3 years of Machine Learning experience
  • Background in Property and Casualty Insurance is a big plus
  • You must be able to work out of our Houston office
Additional Requirements
  • Parallel and distributed processing experience is a plus
  • Expertise in data Extraction Transformation and Loading (ETL) is a strong plus (Spark, Hadoop, SQL) in big data environments.
  • Domain knowledge in financial and insurance industries is a big plus

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