Data Analyst Lead & Instructor (Job Vacancy)

Responsibilities

• Analyze Scaler's big data and provide actionable insights for growth and optimization.
• Build and automate data pipelines for the Data Science and Machine Learning ecosystem.
• Make architectural decisions and trade-offs to build a best-in-class platform.
• Help the Engineering team in building products that deliver the best student experience.
• Design a unique curriculum and high-quality content (assessments, projects, lectures).
• Analyze the effectiveness of content and instruction.
• Prepare and deliver lectures and webinars.
• Share your industry experience with learners.
• Proactively improve student experience by organizing contests, mentoring sessions, etc.
• Work with the top Data Scientists and ML Engineers from top companies to build.
• Business Case Studies that our students can work on. (We will connect you with them).
• Work as a Data Science and ML Advisor to top companies that opt-in.
• Discuss ideas with our stellar Advisory Committee (includes Head of Data Science, Uber).
• Publish your research in Data Science and ML, and guide students in doing the same (if interested).

Requirements

• Expert in Data Analysis, minimum 5 year of Industry experience required.
• Must know - Tableau, SQL, Python, Python Libraries, Probability, Statistics, Hypothesis Testing.
• Good to have: Machine Learning, Deep Learning, and NLP.
• Managing Team and cross-team efforts.
• High on empathy, a natural storyteller.
• Good communication skills.
• Previous experience as a content creator where you learned how to create effective content for students.
• Previous experience as an instructor where you worked with students and learned how to deliver the content effectively.
• Experience with solving Business cases is a big plus.
• Prefer prior experience as an Analyst, Consultant, or Product Manager who understands strategy, product, marketing, consumer behavior, economics, etc.
• Deep Domain Expertise: Deep understanding of the domain to understand in depth how companies hire in the domain and what makes professionals successful at work.
• Tolerance for ambiguity: which translates to a get-it-done rather than wait-for-perfection approach.
• Iterative problem-solving: This translates to structuring problems and iterating on creative/implementable solutions.
• Bias to own, hustle, and deliver: which translates to proactively taking the lead with new initiatives, by default.
• Obsession with process excellence: which translates to being independent and detailed with all inputs and outputs.
• Caring and inspirational teammate: which translates to bringing the best out of every colleague, always.

This job was posted by Mrugal Raut from Scaler Academy.