Are you awesome at Machine Learning? Here is a chance to become a part of India’s leading Analytics Consultnacy, in a team developing proprietary algorithms and analytics consumption platform.
Designation –Data Scientist
Location – Mumbai
About employer– Fractal Analytics. To know more about Fractal, visit this page. If you need more details, here is what the CEO of company had to say about the company culture
Qualification:
MS/PhD in Machine Learning, Artificial Intelligence, Data Mining, Computer Science, Statistics, Applied Mathematics, Operations Research or related quantitative field.
Job description:
We are currently hiring Data Scientists – Machine Learning at Fractal Sciences. Fractal Sciences is the Big Data management and technology arm at Fractal where we are building proprietary algorithms and analytics consumption platforms. Fractal Sciences also collaborates with the analytics consulting teams to provide analytical solutions to complex business problems. We are building a team of Data Scientists proficient in designing and developing solutions across domains applying machine learning and data mining techniques.
Responsibilities:
Lead analytics engagements guiding overall analytical sophistication, validating and improving methodology in predictive statistical modelling activities that deliver value to our clients Develop and implement analytical / ML methodologies, processes and solutions that integrate diverse techniques, tools and technologies to generate deeper analytical insights Guide Big Data engineers in implementing PoC solutions in production with due emphasis on scalability, validation, reliability and maintainability, and make appropriate design changes to accommodate these factors Identify and create business opportunities for the development and redesign of data-driven products and solutions Present and project the analytical capability of Fractal to help clients improve their business performance and solve challenging problems
People Management: Yes
Travel: Yes
Interested candidates can apply Here
