WayCool - Data Scientist

About Waycool :

Waycool is India's fastest growing food distribution company, with a Network of 35,000 farmers operating across the fruit, Vegetable, rice, pulses, and dairy product segments. WayCool Foods and Products has been set up with the vision to organize India's farm-to-fork supply chain, deliver cleaner, fresher and better produce to consumers, generate higher returns to farmers, and reduce wastage and inefficiency. We are looking to build an innovate team of engineers and data scientists to join in our mission to increase efficiency and transparency within India's agricultural industry.

Responsibilities :

No two days at WayCool are the same. The analytics team will focus initially on improving internal performance across the business using prescriptive and predictive analytics. Once internal capabilities have been built, the analytics team will focus on building - data products- that provide the business with the foresight required to be true differentiators within the agricultural space.

In order to best support the goals of WayCool's analytics teams, our data scientists are expected to be able to do the following at a minimum:

- Select features, build and optimize classifiers using machine learning techniques.

- Mine data using state-of-the-art methods. Should know how to use existing models from each language to provide data synergy

- Enhance data collection procedures to include information that is relevant for building analytic systems.

- Process, cleanse, and verify the integrity of data used for analysis.

- Complete ad-hoc analysis and present results in a clear manner.

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

Requirements :

- Should have good knowledge of statistics and machine learning techniques

- Should able able to soft through data and extract the underlying patterns and insights which could be applied to solve the problem or add value

- Should have good problem solving skills

- Should have working knowledge or experience with tools such as Python, R, Matlab etc

- Should be able to convert high level goals into set of use cases or KPIs to be added to the solution to solve customer problem

- Should be able to prepare datasets, tune params, select set of attributes etc to ensure the model trained solves the problem in efficient manner

Skills and Qualifications :

- Excellent understanding of machine learning techniques and algorithms, such as Classification, regression, RF, CRF, SVM, Clustering, CNN, Neural network etc.

- Experience with common data science toolkits, such as R, Matlab, Python related etc.

- Experience with data visualisation tools, such as D3.js, GGplot, etc. to present the observation or solution in simple and consummabale manner on dashboard

- Proficiency in using query languages such as R, SQL etc. Experience in Python is plus

- Experience with various sdks like mitie, dib, stanford NLP, etc are preferred

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

- Understand the high level problem and provide set of solutions to solve it using machine learning or otherwise

- Current ongoing degree in Statistics, Mathematics, Computer Science or another quantitative field