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Job Description
You will hold a dual-role position combining technical development and educational support.
1. Data Scientist Responsibilities (Epsilon AI Analytics)
- Build, train, test, and evaluate machine learning models
- Perform Exploratory Data Analysis (EDA) and data preprocessing
- Develop data pipelines and perform feature engineering
- Deploy models and support integration into real-world systems
- Optimize model performance and monitor deployed solutions
- Collaborate with cross-functional teams (engineering, product, AI leads)
2. Instructor Responsibilities (Epsilon AI Academy)
- deliver data science and machine learning courses
- Lead hands-on labs, workshops, and project mentorship sessions
- Mentor and guide students through practical projects, providing feedback and support to enhance their learning experience.
- Provide technical guidance to learners during practical exercises
- Collaborate with EpsilonAI Analytics teams to integrate real-world case studies and enterprise-grade datasets into educational content.
- Review student projects and provide structured feedback
- Prepare materials, exercises, and demonstrations under senior supervision
- Support junior learners in understanding real-world AI workflows
Job Requirements
Education
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or any related technical field (required)
- 0-3 years of professional experience in data science, machine learning, or artificial intelligence.
Must-Have Technical Skills
- Strong programming proficiency in Python
- Proficiency in Python and popular data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
- Solid understanding of SQL and relational databases
- Experience with EDA and data preprocessing
- Strong understanding of machine learning algorithms, data preprocessing, and model evaluation techniques.
- Familiarity with basic deployment flows (Flask/FastAPI, cloud, or Docker)
- Version control experience (Git)
Soft Skills & Competencies
- Strong communication and presentation abilities
- Ability to explain technical concepts clearly and professionally
- Willingness to mentor, teach, and support learners
- Problem-solving mindset and analytical thinking
- Ability to work in a fast-paced, dynamic environment
- Demonstrated experience teaching, mentoring, or delivering technical training in an academic or corporate setting.
- Excellent communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
Preferred Qualifications
- Prior instructor, TA, or mentorship experience
- Completion of CDSP or similar professional certification
- Epsilon AI alumni are strongly preferred (Epsiloneer)
- Exposure to cloud platforms (AWS, GCP, Azure) is a bonus