Job Location: Bangalore/Bengaluru
Working at Shadowfax means:
- An open and collaborative environment to learn something new, everyday.
- Challenging the status quo and out-speeding competition
- End-to-End accountability of any task – from Ideation to Execution
- Work Hard, Party Harder
Responsibilities:
- Contribute to the development/ deployment of machine learning algorithms, operational research, semantic analysis, and statistical methods for finding structure in large data sets
- Use advanced statistics and machine learning on large scale multidimensional data and generate actionable insights that will be leveraged to drive operations and develop strategies for Delhivery.
- Breakdown business problems by working closely with Product Team and Leadership Management Team, analyze requirements and look into data to recommend products and solutions
- Optimize Delhivery operations by applying data science in solving complex business problems
- Collaborate with cross-functional teams including but not limited to Logistics, BD, Sales, Marketing, Security, Customer Service, etc.
- Disseminate original research in peer reviewed journals and conferences
Requirements:
- 1-3 years of work experience in data science and statistical modeling for DS, 3+ for Sr. DS
- Good understanding of Unsupervised and Semi-supervised Machine Learning Algorithms.
- Optimisation Algorithms: Mathematical Programming (Linear/Non-linear techniques), Convex Optimisation, Transportation Problem, Vehicle Routing Problem, Facility Location Problem, Queuing Theory, Inventory Management, Forecasting Techniques, etc. Knowledge about meta-heuristics like Genetic Algorithm, Tabu Search, Simulated Annealing, etc would be beneficial.
- Strong programming skills in Python or Java. Good understanding of C++ and R will be appreciated.
- Most importantly, an inquisitive mind, an ability for self learning and a risk appetite for experimentation and failure
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