Location
Bangalore | India
Job description
Data Science and Machine Learning is a major verticals within Scaler. We are building game-changing learning solutions for working professionals. Key responsibilities would involve Technical (Data Science / ML Engineering / Data Engineering )
- 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.
Academic
- 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.
Business Case Study
- 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)
Research
- Publish your research in Data Science and ML, and guide students in doing the same (if interested).
Required skills
- Expert in Data Science, Machine Learning, or Data Engineering (Minimum 1 year of industry experience required).
- You are good at problem-solving and managing cross-team efforts.
- You are high on empathy and a natural storyteller. Good communication skills.
Preferred 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.
Must-have mindsets and skillsets
- 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: which 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.
Job tags
Salary
