Delhivery jobs - Data Scientist

Description

PhD is preferable

Experience: 1-3

We are looking to expand our team to further our capabilities in the area of Operational Research.

Responsibility

• Collaborate with cross-functional teams including but not limited to Engineering, Products, Operations, Sales, Marketing, Security, Customer Service, etc. to breakdown complex business problems and recommend data science products
• Translate business processes to mathematical models
• Take ownership of a project and be able to work independently with little supervision
• Formulate and solve Operational Research problems aimed at optimizing Delhivery’s supply chain network and automating daily operations
• Use statistical methods for analysing large datasets
• Code system prototypes in an object oriented language or scripting/modeling language
• Disseminate original research in peer reviewed journals and conferences

Qualifications

• Degree (B.Tech, MS, PhD or equivalent) in Computer Science, Mathematics, Operational Research, Statistics or Natural Sciences
• 1-3 years of work experience in data science and statistical modeling for DS, 3+ for Sr. DS
• A very clear understanding of probability and statistics, analytical approach to problem solving, and capability to think critically on a diverse array of problems
• Practical and Theoretical knowledge of OR Tools: Mathematical Programming (Linear/Non-linear techniques),Graph Theory, Simulation, 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.
• Understanding of Mixed Integer Programming techniques to leverage commercially available libraries such as CPLEX, COIN-OR, Google OR-Tools, R and adapt them as required
• Familiarity with statistical methods such as hypothesis testing, forecasting, time series analysis, etc - gained through work experience or graduate level education
• Expertise in at least one of the following languages: Python, Java, C++
• Experience with relational databases NoSQL databases such as MongoDB, Elastic Search, Redis or any graph database
• Experience in handling geospatial data such as PostGIS will be appreciated
• Skilled at data visualization and presentation
• Good communication skills with both technical and business people
• Experience with big data tools like Spark, Hadoop is a plus
• Publications in peer-reviewed journals will count in your favour
• Most importantly, an inquisitive mind, an ability for self learning and abstraction along with a risk appetite for experimentation and failure