Associate Data Scientist
Associate Data Scientist
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$ 113000 - 123200
1 Vacancy
Job Description
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:
Bachelors Degree
All submissions should include a cover letter and resume.
The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race color national origin age marital status sex sexual orientation gender identity gender expression disability religion ancestry political affiliation or veteran status in employment educational programs and activities and admissions.
Workplace Accommodations:
The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall based on disability be excluded from participation in or be denied the benefits of the services programs or activities of the University or be subjected to discrimination. For information about UMGCs Reasonable Workplace Accommodation Policy or to request an accommodation applicants/candidates can contact Employee Accommodations via email at.
Benefits Package Highlights:
- Generous Time Off:Enjoy 22 days of paid vacation 15 days of sick leave 3 personal days and 15 paid holidays (16 during general election years). For part-time employees time off rates will be prorated based on the number of hours worked.
- Comprehensive Health Coverage:Access to health care medical with vision dental and prescription plans for both individuals and families effective from the 1st of the month following your hire date.
- Insurance Options:Term Life Insurance Accidental Death and Dismemberment Insurance and Long-Term Disability (LTD) Insurance. Part-time employees working less than 0.5 FTE are not eligible for LTD.
- Flexible Spending Accounts:Available for medical and dependent care expenses.
- Retirement Plans:Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS).
- Supplemental Retirement Plans: include 401(k) 403(b) 457(b) and various Roth options. The university does not provide matching funds.
- Tuition Remission:Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. NOTE: For part-time employees (at least 50 percent of the time) tuition remission benefits are prorated.
Hiring Range:
$113000.00 - $123200.00Required Experience:
IC
Employment Type
Full-Time
