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About Emeritus:Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China.Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 250,000 individuals across 80+ countries.Founded in 2015, Emeritus, part of Eruditus Group, has more than 2,000 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the Company is valued at $3.2 billion, and is backed by Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.About the Role:The Learning Support Specialist is a subject matter expert and largely impacts the student experience by guiding students through their learning journey.Candidates must have industry experience, demonstrated knowledge of the course subject area, and strong interpersonal skills. This is a full-time, remote role.The purpose of this position is to provide assistance and aid learners enrolled in programs within the fields of machine learning and AI, data engineering, data science, and data analytics. The successful candidate will have proven experience as a data engineer and/or data scientist. The candidate must have excellent time management skills and the desire to work in a fast-paced educational tech environment where supplementing the educational journey of learners is priority. We are looking for a professional who does not mind a busy schedule and wants to provide excellent internal and external customer service. Roles and Responsibilities:Monitor and respond to all student inquiries via the learning management system and learner support software, using compassion and understanding for the student learning journey within 24 hours or less of submissionRely on industry knowledge to quickly and clearly guide students through complex assignments and questionsProvide prompt feedback that includes pointed questions that will help guide students towards correct answers and allows them to build problem-solving skillsWork with students who are both new to the subject matter, as well as those with experience or who are further along in their careersSuggest course improvements to assigned Program Delivery Manager (PDM) and Designer to ensure content is communicated clearly, accurately, and effectively in videos, assignments and collateral materialsCommunicate and collaborate with the Emeritus team on a regular basis to enhance course delivery and to solve unexpected course challengesSkills and Qualifications:5+ years of extensive work experience in the field of data engineering, data science, or data analytics Professional and/or academic experience in machine learning and artificial intelligenceProficiency in JavaScript, Python, and the use of GitHubExperience using data visualization tools (i.e. Tableau)Experience using Microsoft Azure Advanced academic background in mathematics, particularly statistics, calculus, and linear algebraExcellent verbal and written communication and interpersonal skills with an ability to listen effectively, respond appropriately, and maintain a mutual comfort level while working with a diverse student populationExperience using Canvas or other related learning management systemPreferred Qualifications:Experience using Slack and Teams, as communication toolsExperience working with support/service software or ticketing systemExperience with using bug tracking and feedback toolsEmeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.In press: