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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro locations, mid-level data science role, broad skillset and popular title increase applicant competition.
Core data science and ML skills transfer easily across industries, lowering background sensitivity.
Explicit 6+ years plus mandatory Python, ML frameworks and cloud skills increases shortlist strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end creation and technical review of Data Science courses, including storyboarding, assessments, projects, and videos.
Stay updated and incorporate latest industry trends and best practices in Data Science and AI into course content.
Deliver and customize corporate training sessions on Data Science topics, engaging professionals and aligning training with business objectives.
Minimum Requirements
6+ years of experience in the data science industry with solid understanding of industry practices and tools.
Proficiency in Python and data science libraries such as NumPy, Pandas, Scikit-learn, Tensorflow/PyTorch.
Experience with Agentic AI, Gen AI, and machine learning algorithms (supervised and unsupervised).
Familiarity with data science tools and platforms like VSCode, PowerBI, and cloud platforms (AWS/Azure/GCP).
Ideal Candidate Profile
Experienced in corporate or professional training specifically related to Data Science content creation and delivery.
Strong technical competency combined with ability to translate complex AI/ML concepts into practical training materials.
Capable of independent ownership with focus on high standards in content quality and disciplined project milestones.