Data Science Mentor
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About the job
Location : Remote Employment Type : Part-Time (Flexible) Experience : 1-2 Years (Data Science / Data Analytics / Trainer) About Unified Mentor Unified Mentor is a growing EdTech organization offering industry-focused training in DataScience, AI, Machine Learning, and Data Analytics. We focus on practical learning, real-worldprojects, and career readiness. Role Overview We are hiring a Data Science Mentor to deliver training, create learning content, and mentorstudents. The role involves simplifying complex concepts and guiding learners throughreal-world data science applications. Key Responsibilities Conduct online / offline sessions on Data Science, EDA, ML, and Analytics Develop course content, LMS materials, and video lectures Create assignments, case studies, and capstone projects Provide mentorship and doubt resolution support Evaluate student work with feedback on analysis and model performance Train on tools : Python, SQL, Excel, Power BI, Tableau Guide students in portfolio building and interview preparation Stay updated with latest trends like Generative AI and analytics. Requirements Degree in Data Science / Computer Science / Statistics or related field 1-2 years experience (industry / trainer / mentor) Strong skills in Python, SQL, Machine Learning, Data Visualization Understanding of statistics and data analysis concepts Good communication and teaching skills Working Structure Flexible part-time engagement Session-based / hourly involvement Compensation Compensation will be aligned with industry standards and based on candidateexperience, skill set, and level of engagement.
Requirements
- Python
- SQL
- Machine Learning
- Data Visualization
- Statistics
Qualifications
- Degree in Data Science / Computer Science / Statistics or related field
Preferred Technologies
- Python
- SQL
- Machine Learning
- Data Visualization
- Statistics
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About the company
Unified Mentor is a growing EdTech organization offering industry-focused training in Data Science, AI, Machine Learning, and Data Analytics, focusing on practical learning and career readiness.
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