Deal4Loans

Programmer

India

over 6 years ago
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Summary

Location:Noida, Uttar Pradesh, India As a Data Scientist responsible for R programming, you will perform analysis using R statistical programming language. You will work with the research staff in creating, managing, and analyzing large and complex data. Analysis will include predictive models, text data mining and custom statistical models. Candidates must be experienced with the types of analyses described and demonstrate the ability to work independently. The candidate must be self-motivated, highly productive and highly accountable. What kind of person are we looking for: Masters in statistics, economics, mathematics, or related field is required Expert knowledge of R is a must (ability to code in R and have a solid grip on econometrics principles) Looking for someone with atleast 2 years of experience of working on R. Also open to a fresh graduate as long as they are comfortable in R Ability to work with large data sets High-energy, company first, team first, positive attitude Problem solver: it a cliche, but this cliche is important for us! You should be able independently research and resolving partner questions or concerns in a timely manner... yes there will be fire, but fighting fire should be fun for you Team team team: We are very collegial, we collaborate, we help each other, we teach each other, we grow with each other Develop frameworks to analyze information, situations and data. Separate critical from mundane, using 80/20 principles Good with numbers: digest numbers/data, analyze it, use this data to make. Share your insights in a crisp and simple-digestable form to your team, colleagues and management You should be able to develop high-level relationships with partners - you will develop partnerships and work on developing new business as well Compensation Compensation will be competitive, in line with best in the industry ESOPS of one of the most successful fintech companies in India Opportunity to impact people's lives and be a change agent in the banking services

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