One of our clients in
San Diego, CA, needs a
Data Scientist for a full-time position.
Position:
Data Scientist (Machine Learning Engineer)Location:
San Diego, CAClearance Level:
SecretJOB DESCRIPTION:iQuasar is seeking a highly motivated Data Scientist/Machine Learning Engineer to join our dynamic AI team. In this role, you will leverage machine learning algorithms and software engineering skills to contribute to diverse AI-based projects related to resource planning for ship maintenance, marine transportation, and climate/environmental informatics. Work will involve developing machine learning models that deliver predictive insights and analytics for robust, web-based full-stack AI applications spanning both government (DoD, DoT, NOAA, etc.) and commercial domains.
Responsibilities:- Write code to extract and pre-process training data sets, handling disparate data formats and APIs.
- Research, select, and develop appropriate ML/DL algorithms and models to tackle AI problems across disparate data domains (Navy, Transportation, Environmental Sciences, Healthcare, Public Safety, etc.).
- Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt engineering, computer vision, and NLP tools.
- Work alongside other AI/ML and DevOps engineers to establish automated AI workflows that continuously provide inferences/predictions.
- Develop validation and test routines to measure and evaluate the quality of predictions.
Required Qualifications- 2+ years' programming experience in Python
- Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science
- Knowledge of Python libraries such as Pandas, scikit-learn, Keras, TensorFlow, and/or PyTorch
- Good understanding of databases and API-based data ETL operations
- Strong knowledge of Linux or Unix-like OS.
- Excellent coding skills in Python, ability to handle and analyze large data sets/streams, and familiarity with web frameworks such as Fast API, Django and Flask.
- Experience handling git repositories.
- US citizenship and the ability to obtain and maintain a final DoD adjudicated Secret Clearance
Preferred Qualifications- Strong knowledge of DevOps tools and practices.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines.
- Proficiency in MS Office Applications
- Strong written and oral communication skills
- Attention to detail, procedural compliance, and the ability to manage multiple duties simultaneously while meeting deadlines
- Experience working in Agile environments
- DoD adjudicated secret clearance
EDUCATION:- Bachelor's degree (Master's degree preferred) in Computer Science/Engineering/Data Science or other STEM related discipline.
Compensation: $120,000.00 - $150,000.00 per year
