Job Description

As a Senior Data Scientist, you will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries; Seamlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project. On a typical day, you might Engage with clients to understand their business context Devise creative analytical approaches to solve business problems Develop and enhance algorithms and models to solve a business problem Maintaining all models along with development and updating of code and process documentation Ideate with your peers to design data science solution approaches to unstructured problems, conduct quantitative analyses, and interpret results Interact and collaborate with multiple teams (Consulting &; Engineering) and various stakeholders to meet deadlines, to bring Analytical Solutions to life. Requirements 6-8 years of relevant experience in Data Science Strong understanding the foundational concepts and algorithms in machine learning - Strong analytical skills with proficiency in application of statistical analysis and machine learning algorithms like Liner Regression, Logistic Regression, Random Forest, Boosting Trees, SVM, q ARIMAX, LSTM, Deep Learning etc. Working knowledge of basic Optimization Techniques like Constrained and Unconstrained Optimization, Linear Programming, Quadratic Programming etc. A passion for writing high-quality code (Python) and the code should be modular, scalable, and free of bugs. Comprehensive knowledge of SQL with experience in office skills (Excel &; PowerPoint) - Experience in leading &; coaching a sizeable team to deliver data science solutions Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables. Must have : - Regression, Python Good to have : - Experience in any of the following domains: Retail, CPG, Insurance, Healthcare, Banking, Finance, Manufacturing - Hands on solutioning experience in use cases related to Marketing Analytics, Pricing, Demand and Inventory Forecasting, Market Mix Model, Trade Promo Optimization etc.

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