Senior Data Scientist - Logistics Firm (1-7 yrs)
Industry - Logistics / SCM / Freight / Shipping
Category - Finance
Job Type - Permanent
Job Description - Formulate and solve Operational Research problems aimed at optimizing the company's supply chain network and automating daily operations
Client Details
The client is India's largest and most profitable fulfillment company for digital commerce.
Description
- 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 the company'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
Profile
- Degree (B.Tech, MS, PhD or equivalent) in Computer Science, Mathematics, Operational Research, Statistics or Natural Sciences
- 1-7 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
Job Offer
On offer are a wide range of interesting problems in the optimisation and machine learning space along with a very good team and a lot of freedom for experimentation.
To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Karan Seth on +91 124 452 5429.
Contact - Karan Seth - +91 124 452 5429
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