ML Data Scientist

Machine Learning / Data Scientist

I am working for a Global Client (leader in their industry) after an experienced Machine Learning (ML) consultant to join on an initial short-term contract. My client is looking to automate the development of interfaces, the automation has two components, the first part refers to the recommendation of mapping rules based on existing integration scenarios, the second part is about the use of Robotic Process Automation to translate the suggested rules into actual development artefacts in TIBCO (global ESB solution). The scope of this service is related to the first part of the solution.

Responsibilities

· Analysis of current data set in terms quality for statistical analysis

· Validation of use case as a problem that can be solved using Machine Learning via supervised or unsupervised learning.

· Detailed technical proposal on how to implement the mapping recommendation engine.

Skills & Experience

· Strong problem-solving skills with an emphasis on product development.

· Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

· Experience working with and creating data architectures.

· Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

· Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

· We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

· Coding knowledge and experience with several languages: C, C++, Java,

· JavaScript, etc.

· Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

· Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

· Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

· Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

· Fluent written and spoken English language skill

IMPORTANT: Travel expenses would need to be included in the daily rate, they will not be reimbursed separately.

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