Learning Support Specialist

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 serves as both a subject matter expert and mentor, playing a pivotal role in the learning experience. You will guide learners through their educational journey in programs focused on one or more areas including machine learning, artificial intelligence, data engineering, data science, and data analytics , supporting learners from beginners to career-advancing professionals. Day-to-day, you will: Respond to learner questions with clear, actionable guidance Provide constructive feedback on assignments and projects Break down complex technical concepts into digestible explanations Mentor learners at varying experience levels, ensuring each feels supported and motivated Collaborate with internal teams to identify course improvements Help resolve delivery challenges and escalations What we’re looking for : A professional who combines deep technical expertise with strong interpersonal skills and genuine passion for education. The ideal candidate seamlessly blends technical knowledge with empathy and exceptional communication abilities. This is a full-time, remote position in a dynamic edtech environment where learner success is a top priority. Skills and Qualifications: We’re looking for candidates with ANY ONE of these backgrounds: Professional experience: 2+ years’ in data engineering, data science, or data analytics OR Academic background : PhD (or pursuing PhD) in computer science with a focus on data-related specialties OR Teaching experience : Teaching, tutoring, or teaching assistant experience in data, mathematics, or ML/AI OR Support experience : Learning support in data-related technical bootcamps or higher education Strong background in mathematics (statistics, calculus, linear algebra). Strong academic or professional grounding in machine learning and artificial intelligence . Proficiency in Python and libraries such as NumPy, Pandas (JavaScript experience is a plus). Familiarity with GitHub and version control workflows. Experience with at least one data visualization tool (e.G., Tableau, Power BI). Comfort with cloud platforms (Azure preferred) is optional but advantageous. Strong written and verbal communication skills for working with a diverse learner base. Experience with learning management systems (e.G., Canvas) is a plus. Preferred Qualifications Familiarity with Slack, Teams, or similar collaboration tools. Experience with support/service software or ticketing systems . Exposure to bug tracking and feedback tools . Emeritus 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: