Expert - Data Science - Machine Learning/Artificial Intelligence - Global Edtech Startup

Here is an opportunity for a fantastic career filled with learning and growth in a vibrant, intellectually challenging environment!

Our client is one of India's leading ed-tech company that offers high quality, impactful and industry relevant learning programs to working professionals through convenient technology-enabled blended and online modes, enabling them to develop new competencies and achieve career growth without disrupting their career. Apart from providing India's #1 rated analytics course popular executive MBA programs and specialized courses such as the Financial Risk Analytics program.

The team comprises of passionate individuals having an excellent blend of entrepreneurial and industry experience. Its founding team has been part of multiple successful startups in the US and India. The team members are alumni of leading institutions like Stanford, Berkeley, MIT, Kellog, IIT Mumbai, Duke, MDI, IIM Ahmedabad and IIM Shillong and have previously worked in companies such as Tiger Global, Flipkart, Snapdeal, Boston Consulting Group, Zipdial, SAP, and Stratify.

The company has seen a 100 times growth in the number of registered learners in three years, and 30 times revenue growth in the last 3 years. The team has grown from five to 60 and now has offices in Bengaluru and Gurgaon. Their programs are offered in Gurgaon, Chennai, Bangalore, Pune, Hyderabad and Mumbai.

As the Data Science Expert (ML/AI/Data Science), you will be responsible for discovering the information hidden in TB amounts of data from multiple internal and external sources. You will be responsible to make smarter decisions to deliver even better products.

Your primary focus will be in applying ML / data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

What you will do:

- 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 impact

- Selecting features, building and optimizing classifiers using machine learning techniques

- Data mining using state-of-the-art methods

- Extending company's data with third-party sources of information when needed

- Processing, cleansing, and verifying the integrity of data used for analysis

- Doing adhoc analysis and presenting results in a clear manner

- Creating automated anomaly detection systems and constant tracking of its performance

Candidate Profile:

- Masters/PH.D. from top engineering schools preferred

- Demonstrable experience of 2-8 years in ML/AI/Data Sciences

- Experience in Data / Web Data Analytics

- Excellent verbal and written communication skills