Intelizest Consulting | Hiring | Data Scientist – AWS/Python/Big Data Tools | BigDataKB.com | 2022-09-27

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Job Location: Chennai

Immediate Joinee For Chennai Location

Responsibilities :

– Develop risk, profitability, fraud, and loss mitigation models used to provide affordable credit to serve those who are mis-scored by traditional credit bureaus, where customer’s do not have a valid FICO score

– Discover insights from a myriad of data sources to understand and influence consumer financial behavior

– Build data pipelines to prepare data for rapid learning in a scalable manner

– Design and build machine learning and data infrastructure by partnering with data and production engineering teams

– Develop new complex features to be used to build next generation of machine learning models by combining techniques and business acumen

– Partner with the production engineering team to deploy models, strategies, verification methods

– Communicate and partner with third-party data vendors

Required Qualifications :

– Master’s degree or Ph.D. in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative disciplines (Bachelor’s degree with significant relevant experience will be considered)

– 5+ years of coding experience using machine learning toolset within Python, SQL, Spark, SAS and/or Scala; 5+ years of experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression, and Decision Trees, among others

– 5+ years of experience in working on risk-based marketing and digital analytics; Preferably in financial services industry

– 5+ years of experience hands-on experiences with data extraction, cleaning, analysis and visualization; experience with non-structural data is a plus

– Excellent written and oral communication skills

– A relentless problem solver, out of the box thinker, and proven track record to drive business results in a timely manner

– Experience working with AWS or other cloud-based platforms

– Experience with HDFS, Hive, Shell script and other big data tools

– Comfortable in a high-growth, fast-paced, agile environment

Apply Here

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