Job Description :
Job Description :

Train, implement and evaluate machine learning models
Search for data from the Sharp owned devices installed across the globe to explore.
Use your mathematical, statistical and programmatic knowledge to search, analyze, and model to forecast the sales of our products.
Leverage your experience to build data-driven products.
Provide technical leadership to team members
Hands on experience in predictive analytics and statistical tools, machine learning algorithms and big data tools
Identify, analyze and interpret trends or patterns in complex data sets using unsupervised ML approaches
Use statistical techniques to interpret data and analyze results
Manipulate, extract, process, and analyze large data sets to develop insights and surface implications
Create visualizations to visually represent data for consumption by different audiences

Must – Skills / Knowledge:

Master''s degree in CS, Statistics, Machine Learning, Applied Mathematics, Data Mining or a related field
4+ years of industry experience
4+ years of experience in data extraction, data-driven statistical modeling, analysis and supervised learning.
4+ years of experience in programming languages Python, Java, C++, etc.
4+ years of experience in modeling languages such as R, Stata, MATLAB, etc
Frameworks/libs: sklearn, nltk, genism, pandas, numpy, matplotlib
Visualization toolsets and web app creation with popular JS frameworks (Angular, d3.js)
Hadoop, Spark, Elastic Stack, Git
Familiarity with HTTP and invoking web-APIs
Experienced in managing work with distributed teams
Experience working in SCRUM methodology
Proven sense of high accountability and self-drive to take on and see through big challenges
Confident, takes ownership, willingness to get the job done
Excellent verbal communications and cross group collaboration skills

Education
Bachelors Degree (Preferred in Computer Science)
             

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