Note: The job is a remote job and is open to candidates in USA. Accelint is a defense technology company that connects sensing to action across the connected battlespace. The Senior Data Scientist is responsible for designing, developing, testing, and maintaining software applications to provide advanced analytics for the software and edge solutions team, focusing on innovative solutions driven by exploratory data analysis.
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
- Test algorithms against key benchmarks and implement techniques to enhance performance
- Work with developers, solution architects, and DevSecOps engineers to incorporate algorithms within software architectures and effectively deploy the algorithms within existing code base
- Work with engineers to incorporate prototype algorithms into new products, services, and features and provide guidelines for large-scale implementation
- 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
- Mentor junior data scientist and coordinate activities to complete key data science tasks
- 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
- Performs other duties as assigned
Skills
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field
- At least 5 plus 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
- Currently holds an active U.S. national security clearance or be able to receive and maintain one
- Experience working with CAD models and other technical data sets
- Experience researching, developing, and implementing machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems
- 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)
- Exposure to data streaming applications (Confluent, Kafka, RabbitMQ, or similar)
- In-depth understanding of the aerospace and defense industry
Benefits
- Paid Time Off
- Paid Company Holidays
- Medical, Dental & Vision Insurance
- Optional HSA and FSA
- Base and Voluntary Life Insurance
- Short Term & Long-Term Disability Insurance
- 401k Matching
- Employee Assistance Program
Company Overview