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Data Science facilitator

Regenesys -
Navi Mumbai, Maharashtra

Apply Now

Job details

Qualifications

TensorFlow
Power BI
Image processing
Oracle
Computer Science
Web development
Computer vision
NumPy
Microsoft SQL Server
Tableau
Master's degree
SQL
MCA
Pandas
AWS
Machine learning
PostgreSQL
Natural language processing
Computer skills
Data science
Keras
Clustering
AI
Communication skills
Python
Teaching experience
MySQL

Full job description

Job Description for Data Science facilitator

Position Overview:

We are searching for a highly skilled and proficient Data Science Facilitator for online upskilling courses in the field of data science. The facilitator will play a pivotal role in delivering comprehensive modules on cutting-edge data science topics, including machine learning, artificial intelligence, deep learning, web development, and more. The ideal candidate should possess a strong grasp of data science principles, technologies, and practical applications, coupled with exceptional communication and instructional abilities. Staying updated with the latest advancements in data science and effectively communicating these concepts to course participants is a fundamental aspect of this role.

Responsibilities:

Curriculum Development and Delivery: Develop and present engaging training modules that cover advanced data science topics, catering to learners’ varying levels of proficiency.

Deliver insightful content on subjects such as machine learning algorithms, artificial intelligence frameworks, deep learning architectures, and web development techniques.

Technical skills:

Programming Language: Python

AI & Data analysis Packages/Framework: Numpy, Pandas, Seaborn, Sklearn, TensorFlow & Keras

Knowledge of Natural Language Processing /Computer Vision will add an advantage.

Customization of Learning Material: Tailor existing course materials or create new content to align with the specific learning requirements and skill levels of diverse participants, spanning from novice learners to experienced data science professionals.

Stay Abreast of Industry Trends: Continuously research and monitor the dynamic landscape of data science, including emerging technologies, methodologies, and industry best practices, to ensure that training content remains relevant and up to date.

Individualized Mentorship: Provide personalized guidance and support to participants, addressing their inquiries and assisting them in overcoming challenges encountered while mastering data science methodologies.

Qualification-

M Sc (Computer Science) or
MCA (Master in Computer Application) or
B Tech or M Tech in Computer Engineering or IT

Technical Skills-

Programming Language: Python
Database: MySQL/Oracle/SQL Server/PostgreSQL SQL (any one)
Data Science: Numpy, Pandas, Matplotlib, Seaborn, EDA
Machine Learning: Sklearn, ML models for regression, classification, and clustering problems
Additional knowledge of the following will be an advantage: Tableau/Power BI

Work Experience-

Minimum 5 years of teaching experience in relevant domain, however it can be lowered to 3 years for an exceptional candidate.
Proven expertise and hands-on experience in data science, particularly in advanced areas like machine learning, artificial intelligence, deep learning, and web development.
Exceptional presentation and facilitation skills, with the ability to engage and inspire learners in an online environment.
Outstanding verbal and written communication skills, enabling the clear and concise explanation of intricate concepts to diverse audiences.
In-depth comprehension of data science principles, tools, techniques, and industry standards. Capability to adapt instructional content based on participants’ varying levels of familiarity with data science.
Experience in online teaching, curriculum design, and the application of interactive learning tools will be advantageous.
Relevant certifications (e.g., Certified Data Scientist, Google TensorFlow Developer, AWS Machine Learning Specialty) would be a plus.
Effective problem-solving skills and the ability to address participants’ inquiries and obstacles in a constructive manner.
High level of professionalism, commitment to maintaining confidentiality, and adherence to ethical standards.
Autonomous and collaborative work ethic, proficiently managing time and tasks.
Keenness to continually enhance personal knowledge and skills within the evolving realm of data science.

Apply Now

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