Data Science Partner

**_Delhi_**_, _**_India_**
**Designation**:
Partner

**Position**:
Data Science Instructor Mentor (Part-Time)

**Job Type**:
Consultant

**Benefits**:
Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes.

**Reports to**:
Founder/CEO

**Job Overview**:
The Data Science Mentor will provide strategic training and mentorship to Eduroids' students on a part-time basis, focusing on equipping them with industry-relevant data science skills. This role involves delivering interactive sessions, developing comprehensive course materials, and offering personalised guidance to prepare students for real-world challenges in data science.

**Key Responsibilities**:

- ** Training Delivery**:
Conduct weekend sessions focusing on core data science concepts, tools, and techniques, including machine learning, data modelling, and statistical analysis.
- ** Curriculum Development**:
Develop and regularly update course content to reflect the latest advancements in data science and align with industry requirements.
- ** Hands-On Learning**:
Lead participants through practical exercises, real-world projects, and case studies to build their expertise in data science workflows.
- ** Mentorship**:
Provide one-on-one guidance, address queries, and support students in mastering complex concepts and techniques.
- ** Industry Alignment**:

- ** Assessment and Feedback**:
Evaluate student performance through assessments, offer constructive feedback, and recommend areas for growth and improvement.
- ** Knowledge Transfer**:
**Key Measures**:

- ** Student Progress**:
Track and evaluate participant growth, ensuring they demonstrate competency in data science concepts and techniques.
- ** Industry Relevance**:
Maintain a curriculum that aligns with industry demands, emerging technologies, and data science best practices.
- ** Feedback Scores**:
Achieve high satisfaction and engagement ratings from participants for the quality of instruction and mentorship.
- ** Project Completion**:
Ensure students complete hands-on projects showcasing their ability to solve complex data problems.

**Qualifications**:

- ** Education**:
Bachelor’s or Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, or a related field.
- ** Experience**:

- Minimum of 15 years of professional experience in Data Science or related fields.
- Hands-on experience with Fortune 500 companies is preferred.
- Proven expertise in machine learning, data modelling, and statistical analysis.
- ** Technical Skills**:

- Proficiency in **Python**, **R**, and SQL.
- Experience with machine learning frameworks such as **TensorFlow**, **PyTorch**, or **Scikit-learn**.
- Advanced knowledge of data visualization platforms like **Tableau**, **Power BI**, or **Matplotlib/Seaborn**.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data tools like Spark and Hadoop.
- ** Soft Skills**:

- Excellent communication and teaching skills.
- Ability to simplify and explain complex concepts to learners of varying expertise.
- A passion for mentoring and helping students achieve their career goals.

**Personal Attributes**:

- Enthusiastic about empowering the next generation of data scientists.
- Resilient and adaptable, with a focus on continuous learning and improvement.
- Collaborative and supportive mentor who fosters a positive and inclusive learning environment.

**Benefits**:

- Competitive compensation based on hourly or project-based engagement.
- Flexible remote working opportunities.
- Opportunity to shape future data scientists and impact their career success.
- Collaborative and forward-thinking work culture.