AddressLead Data Scientist (only early joiners can apply)
Role & Responsibilities:
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.
What do we expect?
- 6-12 years of relevant experience in Data Science
- Strong understanding the foundational concepts and algorithms in machine learning
- Strong analytical skills with proficiency in the application of statistical analysis and machine learning algorithms like Linear Regression, Logistic Regression, Random Forest, Boosting Trees, SVM, 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 Skills:
- 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.
