Data Scientist role at Mundiale, focusing on AI solutions and NLP technologies within a collaborative team environment. Responsibilities include model development and implementation.
About the role
- Experienced Data Scientist at Boeing focused on designing data solutions and improving operational effectiveness. Collaborating with teams to implement machine learning and data analysis.
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
- 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
Requirements
- Bachelor’s degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics or similar discipline
- 5+ years of professional experience in data science, artificial intelligence, or machine learning
- Programming experience in one or more of the following: Python, Julia, R, C, C++, C#, Java.
- Experience leading technical teams or projects
- Advanced degree (Master's or Doctorate) in Data Science, Applied Statistics, Computer Science, Mathematics, or another similar technical background (preferred)
- 3+ years of experience in natural language processing (preferred)
- 3+ years of experience in SQL or NoSQL Database Languages (preferred)
- Proficient with data visualization tools (preferred)
- Proficient in deep learning frameworks such as PyTorch and TensorFlow (preferred)
- Experience with generative AI models, including LLMs, for building knowledge-driven solutions (preferred)
- Experience integrating models into customer environments, both on-prem and in cloud environments (preferred)
- Experience working in an agile software development team (preferred)
- Experience with MLOps and MLOps tool stack such as ClearML or MLFlow (preferred)
- Experience working in cloud computing environments such as Azure and AWS (preferred)
Benefits
- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life and disability insurance programs
- Paid time off
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