Data Scientist / A.I. Researcher

Key Skills

Python Programming, SQL, Large data sets

Job Description

The Raytheon Intelligence and Space (RI&S) Data Science and Technologies (DST) team leads interdisciplinary applied research and development (R&D) for all of RI&S. R&D ranges from concept development, trade studies, and rapid prototyping for customized engineering products and services. We develop solutions to solve customer needs as well as plan future capabilities and technology roadmaps.

Raytheon is looking to fill several data science and Artificial Intelligence (AI) positions in Dulles, VA, Richardson, TX, or Aurora, CO. The candidate will join a small, agile group focused on applying state of the art data science (DS), data engineering (DE), and AI approaches to a variety of customer problems. Modern DS/DE/AI approaches are inherently interdisciplinary, integrating concepts from Computer Science, Physics, Statistics, and Mathematics among other fields. Therefore, the candidate must have both technical depth in data engineering combined with interdisciplinary breadth to integrate concepts from other fields.

Raytheon data scientists combine knowledge of statistical and machine learning practices with practical programming skills to provide data-driven solutions to real world problems. We are looking for data scientists who will be able to work in a team composed of data scientists and data engineers to support a variety of software development teams who are building applications for the modern warfighter and intelligence analyst. The ideal candidate will be able to work with product teams to identify rich data science opportunities, develop data-centric solutions, and deploy those solutions to a secure production environment. This is a hybrid role, not remote only.

Typical tasks may include:

• Work with product teams, users, and other stakeholders to identify opportunities for data-driven solutions.
• Help build sophisticated optimization models and create algorithms for quickly producing cutting-edge solutions according to those models.
• Use supervised and unsupervised machine learning approaches to develop insights and provide recommendations or predictions for future events.
• Generate hypotheses, design experiments, gather, review and transform data, and test the hypotheses using modern and statistically rigorous methodologies.
• Develop new techniques and applications in optimization, statistics, and machine learning fields and present those findings to internal leadership teams, external DoD/IC customers, and/or academic communities.

Requirements:

• Minimum 10 years of relevant experience.
• Theoretical and practical background in one or more of statistical analysis, machine learning, sensor phenomenology, predictive modeling, and/or optimization.
• Experience in languages commonly used for data analysis such as Python. Candidates must have a strong coding background.
• Experience working with large-scale data sets.
• Experience producing data visualizations for a variety of audiences.
• Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences.
• Ability to start with a messy unstructured problem, identify specific research questions from it, and propose data and model-driven solutions that would create value for end-users and other stakeholders.
• Knowledge of current developments and trends in statistics, machine learning, and big data.
• U.S. Citizen with the ability to obtain and maintain a U.S. Security Clearance.

Desired Skills:

• Entrepreneurial zeal – capability and strong desire to solve problems from concept development, customer engagement, and technology transition.
• Experience working on front-end, back-end, or full-stack web development projects.

Required Education (including Major):

• B.S. in Data Science, Computer Science, AI, Math or similar quantitative focused degree. Advanced degree is even better.

Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.