Vice President - Data Science - Logistics

Key Responsibilities:

- Works independently or with a small team to solve complex problems and create scalable models/algorithms that will be integrated into their tools and products

- Will focus on creating output that is simple and easy for business users to understand and implement

- Leads junior data scientists (if required) to deliver results

- Will communicate the progress of projects from time to time to various stakeholders

- Participates in industry forums to showcase the analytical depth of the organization

Required Skills:

- Prior experience in building and rolling out scoring models, response models, optimization, forecasting, segmentation, etc.

- Strong understanding of statistical modeling and its application to solving business problems

- Hands-on experience with python for building models, Clementine, IBM Data Miner, Oracle Data miner, etc. is a must

- Expertise in management of large data and understanding of data quality metrics

- Hands-on experience with Python, big data technologies, tensor flow, and other machine learning platforms

- Ability to collaborate with various teams to learn from their experience and apply the learning's to the problems at hand

- Great communication skills with the ability to clearly communicate data, context, and implications to business stakeholders and senior leaders

Desired Skills:

- Knowledge of supply chain industry is desirable

- Hands-on experience in using web data will be an added advantage

- Knowledge in extracting intelligence from semantic modeling is a must

Qualifications:

- Bachelor's/Master's Degree/Ph.D. in Technology/Statistics/Economics/Operations Research, Applied Statistics, Data Mining and/or related quantitative engineering field.

- 12-18 years of experience in building and implementing statistical models