Machine Learning Specialist I/II

1 week ago

Fort Myers, United States Florida Gulf Coast University Full time

Job Summary The Machine Learning Specialist I will be responsible for developing analytical frameworks and roadmaps that provide actionable recommendations for front-end reporting and support various teams and departments in enhancing student success metrics. This role is responsible for building and maintaining data models, collaborating with cross-functional teams, and utilizing advanced analytical and statistical techniques to implement machine learning models for predicting student performance. FGCU is a member of the State University System of Florida and an Affirmative Action and Equal Employment Opportunity and Access Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, disability, sex, pregnancy, national origin, marital status, genetic predisposition, sexual orientation, gender identity/gender expression, veteran status, and any other protected class(es), as required by applicable state and federal law, as well as University regulations and policies. Job Description Typical duties may include but are not limited to: Develops analytical frameworks and roadmaps to provide actionable recommendations for front-end reporting to various teams and departments in support of student success metrics. Develops data models utilizing multiple data platforms and data schemas (Banner, Degree Works, Canvas, SQL, Microsoft SQL Server) to create relevant reports that incorporate predictive analytics into actionable data. Collaborates with cross-functional teams to understand data requirements, deliver meaningful information, and translate insights into actionable strategies. Researches and implements machine learning techniques, data mining, data cleaning, regression analysis, and predictive modeling to extract valuable insights from data. Develops and implements machine learning models for predicting student performance. Creates and maintains data pipelines for continuous model improvement and evaluates and compares different predictive algorithms for optimal results. Utilizes Tableau to design visually insightful dashboards and produce reports summarizing Key Performance Indicators (KPIs) for operational and executive-level reporting. Other Duties: Performs other job-related duties as assigned. Additional Job Description Minimum Requirements for a Machine Learning Specialist Level I: This position requires six years of directly related full-time experience or, as an alternative, a Bachelor's degree from an accredited institution in computer science, Data Science, or related field and two years of full-time experience directly related to the job functions. Experience with machine learning libraries (e.g., scikit-learn, TensorFlow) Experience programming in Python, R, or similar languages. Experience with SQL, data visualization and database management. Experience operating a personal computer and proficient with Microsoft Office (Word, Excel, Access and Outlook). Any appropriate combination of relevant education, experience, and/or certifications may be considered. Minimum Requirements for a Machine Learning Specialist Level II: This position requires eight years of directly related full-time experience or, as an alternative, a Bachelor's degree from an accredited institution in computer science, Data Science, or related field and four years of full-time experience directly related to the job functions. Experience with machine learning libraries (e.g., scikit-learn, TensorFlow) Experience programming in Python, R, or similar languages. Experience with SQL, data visualization and database management. Experience operating a personal computer and proficient with Microsoft Office (Word, Excel, Access and Outlook). Any appropriate combination of relevant education, experience, and/or certifications may be considered. Knowledge, Skills & Abilities: Knowledge of statistical analysis and predictive modeling techniques. Strong analytical skills and the ability to develop actionable insights from data. Experience in developing data models and incorporating predictive analytics into reports. Expertise in machine learning techniques, data mining, data cleaning, regression analysis, and predictive modeling. Knowledge of policies, procedures, and regulations pertaining to the position. Knowledge of educational assessment and learning analytics. Excellent interpersonal, verbal and written communication skills. Strong organizational skills and an ability to prioritize and complete simultaneous projects within deadlines. Strong programming skills in Python, R, or similar languages. Ability to compile, organize, interpret, and communicate data and results in a concise format. Ability to operate personal computers with proficiency and learn new applications and systems. Ability to interact in a professional manner with a diverse group of staff, faculty, students, and the community in a service-oriented environment. Ability to think critically and make clear, well-reasoned and timely decisions. Ability to maintain confidentiality and discretion at all times. Machine Learning Specialist Level I- Pay Grade 18 Machine Learning Specialist Level II- Pay Grade 19 Applicants will be evaluated for roles as either Machine Learning Specialist I or Machine Learning Specialist II based on their qualifications.

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