What you will do:
- Having a clear business understanding of the problem
- Responsible for driving analysis and models resulting in measurable improvements to our bottom line.
- Collaborating with colleagues from multidisciplinary science, engineering, and business backgrounds
- Working with engineers to put recommendations/ proofs-of-concept/models into production and monitor the impact
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extracting data from legit and open sources to add value to data science endeavors and solving data-sufficiency problems.
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing the ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
- B.Tech / M.Tech / PhD in Computer Science from IITs/ IISc, top engineering schools preferred.
- Over all 6+ years of experience and with demonstrable experience of 2-3 years in ML/AI/Data Sciences
- Experience in Data / Web Data Analytics
- Experience applying machine vision, data mining, or machine learning to solve real-world problems on massive image and/or video data sets.
- Fluency in Python (pandas, numpy, scikit etc) or another scripting language.
- Experience with R, Matlab, or other statistical tools.
- Experience with deep learning frameworks like PyTorch, Tensorflow, Keras, etc.
- Strong understanding of statistics, algebra, probability and mathematical optimization.
- Experience or interest in applying science to tackle problems in education at scale.
- Strong communication and collaboration skills to work with people from a variety of technical backgrounds.
- Patents and/or technical publications are a big plus
- Experience working for an Ed-Tech organization is preferred
Culture is a funny thing to describe in words!
We believe culture is the most important driver of organisational success and of the satisfaction we feel at the end of each day. But when put into words, it can sound contrived. So we'll just tell you what you'd observe as you wander the halls.
What you'll get:
- Think Big - 10X not 10%
- Solve whole and hard problems that matter
- Design the experience not the product
- Accountability and ownership
- Develop and retain smart and interesting people
- Failure tolerance
- Have Fun!
