Must Have Technical/Functional Skills
• 3+ years of experience in natural language processing
• 3+ years of experience in SQL or NoSQL Database Languages
• Proficient with data visualization tools
• Proficient in deep learning frameworks such as PyTorch and TensorFlow
• Experience with generative AI models, including LLMs, for building knowledge-driven solutions.
• Experience integrating models into customer environments, both on-prem and in cloud environments
• Experience working in an agile software development team
• Experience with MLOps and MLOps tool stack

Roles & Responsibilities
• Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.
• Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision-making
• Provide technical leadership to team of data scientists
• Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments.
• Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.
• Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability.
• Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle.
• Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge.
• Communicate findings, insights, and recommendations to technical and non-technical
• stakeholders through clear and concise reports, presentations, and visualizations.
• Mentor and provide guidance to junior data scientists
• Contribute to the development of best practices and standards for data science within the organization.

Salary Range $100,000 - $120,000 a year