We are looking for a candidate to join our data team as a Data Scientist with machine learning background to support business processes using data science and analytics.
The ideal candidate will use his abilities to help solve a variety of business use-cases in the retail domain. Few examples of use-cases include modern recommendation systems, customer sentiment analysis or churn prediction.
The analytical skills and good problem solving will be needed from gaining the business understanding of the problem until deploying the model in production.
Responsibilities · Use analytical and statistical methods to analyze large amounts of data. · Design machine learning end-to-end pipelines to serve the business needs.
sci-kit learn, SparkMlib) · Knowledge of implementation of machine learning algorithms e.g., random forest, logistic regression etc.
Nice to have · Knowledge of the apache spark architecture. · Knowledge of Jupyter notebooks and Azure Databricks Platform.
g., Power BI. · Experience working on Azure cloud architecture. Soft Skills · Always thrive of new ideas and better implementation techniques · Self-management of estimates, tasks, escalations, risks / issues · Ability to clearly articulate concepts to people with varying technical background · Team player, good consultative and communication skills both written and verbal What's in it for you · Competitive salary · Employees' provident fund, medical and other incentives · Unique working environment where you communicate and work directly with international clients · Self-development opportunities