Responsibilities: Data Scientist

Data Scientists will work close to the problem domain. Data Scientist understands the problem, analyzes

possible solutions, select most suitable solution or set of solutions along with set of features. Once a

feasibility of a solution is established, engineering team will productionize the same. Several iteration of

this process may be required to keep on improving the accuracy of the solution. Interaction within Data

Science team will enable different ideas and solution approaches for the given problem.

About Candidate: 

We are looking for people passionate about Data Science and who can quickly adapt to a new domain,

understand the data and use their data science skills to create impact.

Key skills:

 Strong mathematical modeling rigor of at least one kind (clustering, classification, stochastic

modeling, time series etc).

 Will implement solutions to business problems using data analysis, data mining, optimization

tools, and machine learning techniques and statistics

 Build data-science and technology based algorithmic solutions to address business needs

 Analyze, define and document system requirements for data, workflow, logical processes,

interfaces with other systems, auditing, reporting requirements and production

configurationCreate scripts and packages for data integration, data maintenance or bug fixes.

 Hands on with at least one statistical analysis tool

Expectations:

– 1+ years of Machine Learning, NLP, or Data Mining

– Fluency in tools such as Python, R, Matlab, SAS, SPSS, Hadoop

– Experience working with large data sets and Big Data – Hive, Oozie, Pig

– Good understanding of Algorithms and Data Structures