Job brief

Data scientist have the knowledge, experience and technical skills to leverage large volumes of internal and external data, and apply the right machine learning/big data technologies to turn such data into valuable insights and actions for the company.

If you’re an analytical, curious, and creative person, then this might be your perfect job.

We are looking for a progressive Data Scientist who will take the responsibility for driving an algorithm with the help of the data which will result in making of an AI system facilitating our clients solve their cases in no time.

Responsibilities

·         Guide and contribute to the execution of a Data Science methodology according to the requirements of each project. This includes: Goal Definition, Data Preprocessing, Statistical Modeling, Evaluation, Cluster analysis of data, predictive modeling algorithms, Results Communication and Deployment.

·         Execute the requirement(s) to solve the business problem.

·         Collaborate on insights with other Data Scientists, Business Analysts, and Associates.

·         Interact directly with Business Partners to support their operational needs.

·         Evaluate, refine, and continuously improve the efficiency and accuracy of existing Predictive Models.

·         Champion new innovative ideas around the Data Science and Advanced Analytics practices

·         Develop methods for data handling and management for each individual project.

·         Check data for errors, inconsistencies, usability and relevance.

·         Use data as input for improving existing product & services and conceiving new services.

·         Attend conference, trainings and professional networking opportunities to maintain an awareness of new research in the field.

·         Set up the reports in a flexible manner for both internal and external use.

Requirements

·         Strong analytical abilities, knowledge of different statistical methods, and a familiarity with research studies.

·         Extensive expertise in algorithms, statistical analysis, and big data handling.

·         Familiarity with statistical analysis languages and tools like Python, SQL, MATLAB.

·         Ability to provide expert advice to non-technical staff and clients

·         Working knowledge of data mining techniques, including regression analysis, clustering, and decision trees, neural networks, SVM.

·         Ability to quickly understand patterns within data.

·         Strong foundation in statistics.

·         BS (Required) in Computer Science, Math, or another technical major, or demonstrated analytical and technical ability. MS preferred

·         2 Year experience Minimum in the field of practice.

·         Excellent verbal and written communication in English language.