Company Name:-
IBM

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Introduction
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.

Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options.

Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.

Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options.

Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Responsibilities
Build and evaluate predictive and decision models to be deployed in production systems, or for research
Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, selection of sampling criteria, generating performance definitions and variables
Conducting experiments with different types of algorithms and models, analyzing performance, to identify the best algorithms to employ.

Architect and develop operational models that run at scale thru partnership with data engineer teams
If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every single day.

And if you relish the freedom to bring creative, thoughtful solutions to the table, there’s no limit to what you can accomplish here
Required Technical and Professional Expertise
6+ years of industry work experience in data scientist projects
Background in applied statistical modeling on large experimental or observational data sets
Experience with statistical or machine learning software such as Python, etc.

Experience extracting data from a variety of sources, and a desire to expand those skills (working knowledge SQL is required, Spark is a plu

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