Summary: 

UMGC is investing in cutting-edge AI technology and is dedicated to pushing the boundaries of AI in higher education. Our data & analytics team is a dynamic and collaborative group of professionals dedicated to leveraging data and AI to drive business value across the industry. The Associate Data Scientist specializing in Machine Learning, Optimization, and LLMs, will work closely with experts from various domains to develop and deploy AI-driven solutions that solve complex challenges and optimize processes.   

The Associate Data Scientist is a key member of our data science team. They work on challenging problems, develop advanced AI solutions, and contribute to our mission of driving data-driven decision-making and product enhancement. They will have access to state-of-the-art tools and resources to support their work and will not just have the freedom but be encouraged to push the boundaries of what AI can achieve. 

Duties and Responsibilities: 

• Algorithm Development: Design, develop, and implement advanced machine learning models and AI algorithms, with a specific focus on optimization algorithms or LLMs, to solve complex business problems and optimize processes.  

• Optimization: Apply mathematical optimization techniques to improve decision-making processes, resource allocation, and efficiency across various domains, such as supply chain, pricing, or resource scheduling.  

• Data Analysis: Analyze and preprocess large datasets to extract valuable insights and identify opportunities for optimization and AI-driven improvements.  

• Model Training and Tuning: Train, fine-tune, and evaluate machine learning models, including LLMs, to maximize their effectiveness and efficiency.  

• Deployment and Integration: Collaborate with our engineering team to deploy machine learning models into our production environment and ensure seamless integration with our products and services.  

• Performance Monitoring: Develop and implement monitoring systems to track the performance of deployed models and algorithms, making iterative improvements as needed.  

• Cross-functional Collaboration: Work closely with cross-functional teams, including data engineers, application designers, and business stakeholders, to understand their needs and deliver data-driven solutions.  

• Documentation: Maintain detailed documentation of your work, including code, models, and methodologies, to facilitate knowledge sharing and reproducibility.  

• Research and Innovation: Stay up-to-date with the latest advancements in machine learning, AI, optimization algorithms, and LLMs, and proactively propose and implement innovative solutions. 

Skills: 

• Programming Skills: Proficiency in Python and experience with machine learning frameworks such as TensorFlow, H2o, PyTorch, Langchain, or scikit-learn. Familiarity with optimization libraries is a plus.  

• Optimization Expertise: Strong knowledge of mathematical optimization techniques and practical experience in applying them to real-world problems.  

• Data Manipulation: Proficiency in data manipulation, analysis, and visualization using SQL, Pandas, and related tools.  

• Machine Learning: Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning.  

• Communication Skills: Excellent communication and teamwork skills, with the ability to collaborate effectively with technical and non-technical stakeholders.  

• Problem-Solving: Strong analytical and problem-solving abilities, with keen attention to detail.  

• Innovation: A passion for exploring new approaches and technologies to advance AI and optimization capabilities.  

• Continuous Learning: An eagerness to stay current with the latest developments in machine learning, AI, optimization, and LLMs. 

Education & Experience Requirements: 

Experience:  

• A minimum of 3 years of hands-on experience in statistics, data science, machine learning, and AI, with a potential focus on optimization algorithms and/or LLMs. 

Preferred Experience Requirements: 

Education:  

• Bachelor's Degree