Senior Data Scientist - Logistics Firm

- 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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