Potential candidates should have excellent depth and breadth of knowledge in basic stats, data
mining, machine learning, and statistical modeling. They should possess the ability to translate a
business problem into an analytical problem, identify the relevant data sets needed for
addressing the analytical problem, recommend, implement and validate the best suited analytical
algorithm(s), and generate/deliver insights to stakeholders. Candidates will be working with
variety of data sources from flat files, RDBMS, and Hadoop HDFS data sources and must be
familiar with Hadoop eco system. The role is that of an individual contributor; however the
candidate is expected to work in small project teams and interact with Business partners on
regular basis.
What You'll Need:
Use data mining, machine learning, and statistical techniques to solve business problems
Formulate analytical problems with appropriate assumptions
Interact with internal stakeholders to understand the business problems Collaborate with
business users for manipulating massive data sets and mash-up of data from multiple sources &
formats
Create new, scalable solutions that address business challenges using Big Data technologies
Hands on experience in Big Data tools and technologies on Hadoop (Hive, Spark etc.)
Programming background and experience in one or more of the languages - Java, Scala, Python,
R Exposure to descriptive analytics and creating interactive visualizations (using Tableau,
Qlikview etc.) will be advantageous
Working knowledge on GCP or any other Cloud platform is a plus
Advanced knowledge or specializations on statistical techniques and machine learning would
be a plus
Qualifications: Post graduate degree in CS/IT, Data Science/Analytics, Statistics, Applied
mathematics etc.
Degree or certifications in Analytics is a plus
Hands-on experience in Predictive and Prescriptive Analytics using Big Data Experience in
Hadoop ecosystem (Hive,