WHY JOIN CHOCTAW ADVANTAGE SOLUTIONS:

At Choctaw Advantage Solutions (CAS), you’ll turn complex data into actionable insights that power mission-critical decisions. You’ll develop and implement AI/ML models, predictive analytics, and data pipelines using Python, R, SQL, NoSQL, and cloud AI platforms like Azure or AWS. You’ll work with large, diverse datasets, build integrations at the application and database level, and create visualizations to communicate results clearly. Collaboration with engineers, product teams, and stakeholders ensures your work directly impacts solutions that perform at scale. If you want to solve tough problems, see your models in action, and make your mark on high-impact data systems, this is where you belong.

YOUR RESPONSIBILITIES:

Leads data science efforts, working closely with clients and data to understand mission and data.
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.
Works effectively and independently.

WHAT WE ARE LOOKING FOR:

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
Experience implementing event/data streaming services such as Kafka
Experience prototyping front-end visualizations utilizing data visualization suites such as Kibana or Splunk
At least 2 years of experience developing Reinforcement learning systems utilizing at least one of the following methodologies. Finite Markov Decision Processes, Support Vector Machines, Q-Learning, Stochastic Finite State Machines, MCTS or other hybrid Deep Reinforcement Learning processes
Experience in theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization.
Experience developing in languages commonly used for data analysis such as Python, R, Julia, or SAS
Experience working with databases such as SQL or MongoDB.
Experience working with large-scale data sets.
Experience producing data visualizations for a variety of different audiences.
Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences.

EEO/AAP STATEMENT:

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. Choctaw is an Equal Employment Opportunity and Affirmative Action Employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions) sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

DISCLAIMER:

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.

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