We are looking for proven talent to build scalable and actionable AI for two of the largest industries on this planet. Senior Data Scientist Job Title: Senior Data Scientist
Reports to: VP of Engineering Delivery
Location: US/Canada/Australia/India
Salary Range: Based on experience and knowledge
Client/Project: In-house
Openings: 1
Travel Required: 10%+
Position Type: Full-time
Ayata is developing its Prescriptive Analytics software by integrating the latest Artificial Intelligence (AI) and related technologies. We are looking for people with multi-disciplinary skills, especially in software design and artificial intelligence, who can write solid clean code and who are excited about applying those skills to build industrial strength software. You'll be part of a multi-disciplinary team working to design, develop and implement our unique software. Your contributions will directly impact the success of the company.
Job Responsibilities and Duties: Ayata is looking for an experienced Senior Data Scientist who will develop machine learning models for business applications and build cloud-based AI software for predictive analytics business solutions.
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 company's knowledge base of data and models Communicate effectively with team members, management, and clients Qualifications: 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 Qualifications: 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 #J-18808-Ljbffr