Third Eye’s direct client is looking for an advanced data science thinker, team leader, doer and expert who loves to dive into new and different problems, push the boundaries of innovation, and rapidly design, build and help implement machine learning and knowledge discovery solutions. Ideal candidate enjoys learning new contexts and areas of applications to help clients across industries and functions build ROI positive solutions. Creative thinking, problem solving and on-your-feet dot-connecting is very important.
Specific Responsibilities include:Be a key component of the Big Data and Data Sciences CoE, working directly with clients to solve varied business issues using internal and external data
Build solutions that will be applied in real time contexts, such as recommendation engines, inventory management, pricing etc. – using machine learning tools, near-AI processes, statistics, scripting and data integration
Must Have Skills:Specific business knowledge & technical knowledge required include:
Proficient in R and,
Good coding, scripting and prototyping skills covering some procedural as well as statistical or data oriented languages (such as: Python)
Expert in algorithm development & implementation in managing massive data sets
Experience with most of the following Machine Learning algorithms, methods, and techniques:
Bayesian Inference (MAP, MLE, EM, MCMC, etc.)
Random forest and other decision-tree algorithms
Extensive analytical toolset including an advanced understanding of statistics (time series analysis, cluster analysis, multivariate analysis), discrete simulation, linear and nonlinear optimization.
Qualifications:Excellent R skills
At least 3 years of relevant experience
Bachelors or Masters in relevant field with required experience
Extensive experience working with large datasets and solving analytical problems using quantitative approaches