Data Scientist

Job Duties: Collaborate with Business Analysts, Product Owners, and other teams to understand and translate business requirements into data-driven solutions. Develop advanced analytics and machine learning models to enhance customer experiences in various domains leveraging Generative AI and LLMs. Mentor junior data scientists and analysts, sharing knowledge in advanced statistical analysis and machine learning techniques. Represent the data science team in cross-departmental meetings, effectively communicating complex analytical concepts and findings. Work closely with business and functional analysts, software architects, to ensure that the developed models and analytics are aligned with business objectives and integrated seamlessly with existing systems. Design and implement big data machine learning models on Hadoop and Spark for handling large and complex datasets, ensuring efficient data processing and storage. Develop and maintain interfaces and tools for data analysis, visualization, and model deployment in Docker environments. Responsible for exploratory data analysis, data transformation, cleaning, and preparation for analysis, including handling structured and unstructured data from various sources. Develop reusable components and frameworks for data analysis, modelling, and visualization that adhere to best practices and standards. Apply natural language processing for unstructured data analysis, model design, and programming techniques to assigned tasks. Provide support for analytics and machine learning applications, including maintenance and troubleshooting. Collaborate with production and technical support teams to analyse and resolve production issues related to data and models. Develop automation solutions for the setup and deployment of analytics and machine learning environments. Prepare high-level and detailed design documents for data science projects, ensuring compliance with customer standards and obtaining necessary approvals before development. Job Requirements: Required Masters or foreign equivalent in Computer Science, Applied Data Science, CIS, MIS, Engineering (any), or related field. Travel may be required to various unanticipated client sites throughout the U.S.