Data Scientist

What you'll do

• Develop, evaluate, and maintain predictive and statistical models using complex datasets.
• Integrate and assess data quality, provenance, and suitability for modeling; identify data sources and integration needs with partners.
• Communicate findings and document data processes, methodologies, and models.

What they ask for

• MSc or PhD in applied mathematics, statistics, or a related field, or equivalent relevant work experience.
• 4+ years applying statistical modeling and analytics, including regression and time-series analysis.
• Hands-on experience with supervised learning (classification and regression) and unsupervised learning (clustering and dimensionality reduction).
• 4+ years using R or Python, plus experience with SQL or Spark SQL, database design concepts, and cloud platforms. U.S. citizenship and ability to obtain and maintain the required security clearance are also required.

Nice to have

• 3+ years in aviation or aerospace; experience with supply chain management systems, DoD or VA missions, or consulting.
• Cloud certification or ability to obtain one; experience with modern AI/ML technologies including RAG, embeddings, vector databases, Hugging Face Transformers, BERT, BART, and LLMs.

Pay

USD 115,000–155,000 per-year-salary (base salary)

Tools

R, Python, SQL, Spark SQL, AWS, Azure, Google Cloud, Hugging Face Transformers

AI focus

Applies supervised and unsupervised machine learning to predictive modeling; preferred experience includes RAG, embeddings, vector databases, transformers, and LLMs.