Job Title: Principal Data Scientist
Location: Bangalore
Reporting to: Head - Scaler DSML
About Scaler
Launched in 2019, Scaler is India’s leading tech education company that upskills working professionals and educates aspiring engineering students. Scaler’s industry-vetted curriculum provides solutions to real-world challenges addressing the changing dynamics of the technology industry through two flagship programs: Scaler Academy and Scaler DSML. Scaler believes in creating real-life impact by focusing on ‘impact-driven’ tech talent. Enrolled learners are mentored and taught by leaders and subject-matter experts working with leading organizations, including MAANG companies. Scaler has generated enviable career outcomes in a short period, and on average, its learners see a 4.5x RoI (return on investment) and salary hike of approximately 126%. To further redefine tech education, Scaler has launched Scaler Neovarsity - an online university that offers an outcome-focused Master’s Programme accredited with ECTS and Scaler School of Technology - a 4-year residential UG program in Computer Science. Scaler Enterprise is its B2B arm that focuses on building relationships with domestic and global organizations to provide them with industry-ready talent.
Over 900 companies have worked with Scaler for their tech recruitment needs. The startup’s parent firm, InterviewBit, is featured on the Financial Times’s Asia Pacific High Growth Companies 2021, 2022 and 2023 ranking. Valued at $710 million, Scaler is backed by marquee global investors like Peak XV Partners (formerly Sequoia Capital India), Tiger Global, and Lightrock India. It has expanded its footprints across India and the US.
About the role
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.
Scaler in News
- Location: Bengaluru
- Job Type: Full time
- Work: Office