Note: This position is contingent upon contract award. It requires active U.S. national security clearance and the ability to obtain one. To learn more about the security clearance process, please access this link. Travel may be required to customer and subcontractor sites as well as other office locations.

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 is 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.

Duties & Responsibilities:

Algorithm Development

· Lead the design, development, and implementation of statistical techniques and algorithms.

· Write clean, maintainable, and efficient code, and ensure best practices in coding standards.

Applications of AI/ML

· 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.

Technical Documentation

· Prepare and maintain comprehensive technical documentation related to algorithm development.

· Ensure accuracy and completeness of all documentation.

Collaboration and Communication

· Foster effective collaboration with cross-functional teams to achieve project objectives.

· Communicate complex technical information clearly and effectively.

Tool and Methodology Application

· 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 Qualifications:

- 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.

-Active Secret Clearance or above

Preferred Qualifications:

- 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: Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.

EEOC & Know Your Rights: Accelint companies are Equal Opportunity Employers. 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. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC).

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

E-Verify: Accelint companies utilizes E-Verify to confirm employment eligibility to work in the United States. Verification occurs after the employee has been hired and completes the Form I-9.

Salary Range: The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.

Benefits include: