LimeRoad - Data Scientist

We are looking for motivated Data Scientists with excellent leadership skills, and the ability to develop, automate, and run analytical models of our systems.

- You will have strong modelling skills and is comfortable owning their own data and working from concept through to execution.

- This role will also build tools and support structures needed to analyse data, dive deep into data to resolve root cause of systems errors & changes, and present findings to business partners to drive improvements.

Your Mission as Data Scientist is to

- Understand a business problem and the available data and identify what analytics and reporting techniques can be applied to answer a business question

Why Limeroad:

For 9 straight quarters, we are the fastest growing social e-commerce platform in the country. And we do it responsibly. We are on a clear path to profitability. Our people have high say/do ratios, which means that there is complete ownership and 100% deliverability.

Press Coverage:

https://goo.gl/b1veJH

https://goo.gl/oRrHJA

What does it feel it to be here:

Big challenges to keep your techie brain engaged. Infinite freedom. We aren't your run of the mill 9-5, all that matters is getting the task done! We believe in hiring people, who are responsible and adds to the culture we are constantly trying to build. We want to be the melting pot of talent and undying energy that young India has to offer.

Min requirements for this mission:

- 1+ year experience with statistical tools (e.g. R) and analysis, regression modeling and forecasting, time series analysis. Able to write SQL scripts for analysis and reporting ( SQL, MySQL)

- Experience using one or more programming languages (e.g. Python, Java, C++, C#, Ruby)

- Ability to partner and work efficiently with partner teams and stakeholders is critical

- Understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc is required

- Quickly prototype solutions and build models to test feasibility of solution approach

- Build statistical models, train and test them to and drive towards the optimal level of model performance