CLEARANCE: This position requires that the candidate has an active US DOD Secret or above security clearance.

Systems Innovation Engineering (SIE) is a wholly-owned subsidiary of Accelint which develops integrated software, sensor, and systems engineering solutions at the speed of relevance to provide accelerated intelligence and operational dominance to our Aerospace and Defense (A&D) customers. We are an energetic team that prioritizes innovation. Our mission is to leverage advanced technology to enhance the affordability and readiness of defense systems, ensuring superior mission effectiveness for our clients.

We are looking for a Data Scientist who will be responsible for designing, developing, testing, and maintaining software applications to provide advanced analytics for software and edge solutions team. This role focuses on applying statistical techniques such as Artificial Intelligence/Machine Learning (AI/ML) to enable systems health monitoring optimization and predictions. This role will involve analyzing system performance data, developing forecasting models to predict future system states, developing optimization algorithms to improve system states, and beginning the implementation of AI/ML techniques to improve system reliability and efficiency. This role will require collaboration with other data scientists and software engineers to implement algorithms and provide insights to end users. The ideal candidate has at least 5 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams.

Role & Responsibilities:

• Lead the design, development, and implementation of statistical techniques and algorithms.
• Write clean, maintainable, and efficient code, and ensure best practices in coding standards.
• Research and identify areas for applications of AI/ML in support of the program.
• Work with the development team and government teams to align AI/ML efforts.
• Prepare and maintain comprehensive technical documentation related to algorithm development.
• Ensure accuracy and completeness of all documentation.
• Foster effective collaboration with cross-functional teams to achieve project objectives.
• Communicate complex technical information clearly and effectively.
• Utilize advanced software development tools and methodologies to support project requirements.
• Integrate software development tools and methodologies into the workflow to improve efficiency and accuracy

Required Experience:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field.
• At least 5 years of experience in data science or related discipline.
• Experience analyzing system performance data and time series data.
• Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.).
• Strong background in statistical analysis, forecasting techniques, and anomaly detection
• Experience with SQL and relational databases.
• Knowledge of data visualization tools for creating operational dashboards (Tableau, Power BI, Grafana, or similar).
• Understanding of machine learning fundamentals with a willingness to expand AI/ML implementation skills.
• Excellent problem-solving and analytical skills.
• Superior written and verbal communication skills.

Preferred Experience:

• Experience with system health monitoring, predictive maintenance, or reliability engineering
• Knowledge of time series analysis, ARIMA, or other forecasting methodologies
• Experience with anomaly detection algorithms and techniques
• Familiarity with stream processing of real-time data
• Knowledge of cloud platforms (AWS, Azure, or GCP) and their monitoring services
• Experience with ML frameworks (TensorFlow, PyTorch, or similar)
• Familiarity with version control systems (Git)
• Experience with containerization and orchestration tools (Docker, Kubernetes)
• Background in developing or implementing alerting systems based on statistical thresholds
• Experience with data streaming applications (Confluent, Kafka, RabbitMQ, or similar)
• In-depth understanding of the aerospace and defense industry.

Clearance Information: This position requires the eligibility to obtain a security clearance. Non-US citizens may not be eligible to obtain a security clearance. The Defense Industrial Security Clearance Office (DISCO), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/security-clearances

Work Environment & Remote Meeting Expectations: Our work environment operates on a remote/hybrid model, balancing flexibility with the need for in-person collaboration. Employees are expected to work in-office on designated days to foster engagement with the team. Outside of these days, employees may telework with supervisor approval, provided they adhere to communication protocols and effectively fulfill their work responsibilities. Travel may be required to customer and subcontractor sites, as well as other office locations.

For those in remote roles, active participation in video meetings is an essential part of job responsibilities. Employees must maintain a professional presence on camera, ensure a stable internet connection, and engage in discussions as needed. Video meetings play a crucial role in team collaboration, alignment, and effective communication across distributed teams. Reasonable accommodations will be considered for employees with specific needs.

SIE is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs.

In compliance with the Americans with Disabilities Act (ADA), if you have a disability and would like to request an accommodation with regard to the application and selection process, please notify careers@accelint.com.

Salary Range

The salary range specified in each job posting outlines the minimum and maximum target for new hire salaries applicable to the position across all US locations. Individual compensation within this range is influenced by various factors, such as job-related expertise, skills, experience, and pertinent education or training. It is important to recognize that the compensation information provided in US role postings pertains exclusively to the base salary and excludes considerations for bonuses, equity, or benefits.