Responsibilities

Utilize various techniques such as data collection, analytics, data visualization and work with vast amounts of data to produce pertinent insights that enable data-driven solutions for business. Create reports and visualizations as part of deliverables as required by business.Effectively communicate the technical background, potential, and importance of the solutions in order to generate an appreciation of the work done; understand the needs of the stakeholdersReadiness to conduct research and condense knowledge on relevant literature to map and direct the paths towards business solutionsPotentially work with engineers and product owners to design the implementation that fit the identified solutions, deploy models, evaluate the model or solution performance, improve the work processes

Qualifications

Proficiency in Data Analytics techniques (e.g. data collection, data wrangling, datacleaning, EDA, etc.)Proficiency in python and its Data Science, Machine Learning suite of libraries (e.g. Scikit Learn, Pandas, Matplotlib, etc.)Proficiency in SQL, and usage of different data platforms such as RDBMS, DataWarehouse and Data Lakes is a plusProficiency in visualization tools such as PowerBI, Tableau is a plusKnowledge in usage of Deep Learning libraries (e.g. Tensorflow and Pytorch) is a plusExperience in working and coordinating remotelyStrong problem solving and solutions engineering mindsetStrong analytical and organizational skills Preferably a degree in the related fields of Mathematics, Statistics, Computer ScienceExperience with cloud platforms experience is a plusExperience with software version control technologies such as Git is a plus