At Choctaw Advantage Solutions (CAS), the business problem is to turn complex data into actionable insights that power mission-critical decisions by developing and implementing AI/ML models, predictive analytics, and data pipelines.
Requirements
- At least 8 years of experience developing in languages commonly used for data analysis such as Python, R, or SAS
- Experience with Jupyter Notebooks, Python, JSON, XML, AI/ML algorithm development
- Experience with Azure OpenAI, Azure AI Foundry, and/or AWS Bedrock
- Experience working with multiple database types such as SQL, Redis and MongoDB
- Experience building and integrating the at the application and database level
- Experience developing REST/SOAP APIs and messaging protocols and formats
- At least 2 years of theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization
Responsibilities
- Develops and trains AI/ML models
- Develop, build, and implement new predictive, statistical, or AI/ML models, and refine existing models to improve their accuracy and robustness.
- Prepare detailed documentation for models, outlining their methodology, data sources, assumptions, limitations, and validation results for regulatory and internal review.
- Clean, transform, and analyze large datasets to identify patterns, derive key risk drivers, and prepare structured inputs for model development.
- Conduct testing, benchmarking, and sensitivity analyses to evaluate model performance, assess model risks, and ensure compliance with internal and regulatory standards.
- Evaluates, recommends, and executes new technologies and updates existing infrastructure to ensure optimal performance and efficiency.
- Works in a variety of environments and has excellent verbal and non-verbal communication skills.
Other
- Leads data science efforts, working closely with clients and data to understand mission and data.
- Works effectively and independently.
- Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences.
- We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to craft and maintain an environment that respects diverse traditions, heritages, and experiences.
- The above-noted job advertisement is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to provide the applicant with a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position.
