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26/11 Hiral Shah
Branch Manager at Pylon Management Consulting

Views:2075 Applications:46 Rec. Actions:Recruiter Actions:45

AM/Manager - Data Scientist - BFSI/Healthcare (6-12 yrs)

Bangalore Job Code: 178014

Role Overview: Explore big data to surface useful trends, signals, and segments.

- The role drives business and industry solutions focused on Big Data and Advanced Analytics, in diverse domains such as product development, pricing, marketing research, public policy, optimization and risk management.

- The role uses analytics to provide predictive, prescriptive, and decisive insight.

Role Summary Description:

- Analyze and model structured data using advanced statistical methods

- Implement algorithms and software needed to perform analyses.

- Build recommendation engines, spam classifiers, sentiment analyzers, classifiers for unstructured and semi-structured data

- Analyze data using R, Python, Java, open source packages and commercial/enterprise applications.

- Cluster large amount of user generated content

- Process data in large-scale environments, in Amazon EC2, Storm, Hadoop, Spark

- Interface with databases (SQL, NO SQL, HDFS) to extract, transform and load data

- Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.

- Drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management.

- Communicate results and educate others through reports and presentations.

- Performance explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.

Functional/Technical Skills: (across most levels)

- Ability to break down complex problems, and develop strategies

- Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with 2+ years of relevant experience

- Expertise in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval

- Develop and apply machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, advanced regression methods and hypothesis testing

Experience working with large datasets and problems:

- Strong data extraction and processing, using MapReduce, Pig, and/or Hive preferred

- Experience with command-line scripting, data structures and algorithms

- Knowledgeable with search engines, spam detection, recommendation systems, and/or social networks

- Ability to work in a Linux environment, and process large amounts of data in a cloud environment

- Modern programming language such as Ruby, Python, Java, C++, etc.

- Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

- Proficiency in analysis (e.g. R, SAS, Matlab) packages, and programming languages (e.g. Java, Python, Ruby).

- Ability to implement, maintain, and troubleshoot big data infrastructure, such as distributed processing paradigms, stream processing, and databases, such as Hadoop, Storm, SQL, Solr.

- Additionally, have broad understanding of the various commercial distributions of the Apache Hadoop framework, e.g., MapR, Cloudera, Hortonworks, etc

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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