Solutions Manager - Supply Chain Analytics - Machine Learning/Python/Pandas

The Solutions Engineer, Supply Chain Analytics will be responsible for creating analytical data models and solutions that represent actionable supply chain insights using advanced analytical methods and tools. This position is ideal for candidates who want apply their creative and quantitative abilities to design, develop and implement analytical solutions on large, complex, structured and unstructured data sets.

Candidates Should Be good in Python .

The candidate should have the following capabilities:

Expert in Python or R development. Willing to Work with Python environment.

- Strong understanding of Supply Chain domain

- Strong analytical, data modeling and quantitative analysis skills

- Demonstrable understanding of statistical modeling, data mining and predictive analytics

- Hypothesis testing: being able to develop hypothesis and test them with careful experiments

- Strong data auditing, mapping, staging and mining that contribute to analytical methods

- Strong root cause analysis along with building methodology and algorithms

- Experience with multi-lingual text mining and information retrieval is a Plus

- General programming skills to manipulate, transform, visualize structured on unstructured data

- Good personal and interactive communication skills

- Pragmatic and business-oriented approach to problem solving

- Self-directed and highly adaptable.