Urgent required Data Scientist C2C Jobs at San Antonio, TX

Data Scientist
Location: San Antonio, TX (Onsite from day 1)

• Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
• Create NLP model and document the model as per Model standards and governance
• Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
• Review the existing model documentation and make suggestions for improvement
• Perform Model Monitoring processes and work closely with Model Risk Management team
• Consults with peers for guidance, as needed.
• Consults with Vendor, IT, the business, and other internal stakeholders to deploy model
• Stay current with emerging trends and technologies in Text Analytics, Model Management and Model Governance
• Collaborate with data governance teams and MRM to ensure compliance with regulatory requirements and industry and legal standards.

QUALIFICATIONS

• 6+ years of experience in data science, Qualitative analytics, and quantitative analytics roles
• Master’s degree in computer science, Statistics, or a related field (Mathematics, Operational Research, Data Science)
• Experience in Building and validating statistical, Qualitative, and other advanced analytics models.
• Experience in Model Documentation, Model Monitoring and working with Model CoE
• Strong Knowledge and Experience in NLP, Qualitative Model development and Model Documentation
• Working Experience in Clarabridge or Qualtrics is a plus
• Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data.
• Ability to document that is easy to follow and work with Model CoE for enhancement
• Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
• Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
• Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders