Job Description :
Position : Data Scientist (Machine Learning /Deep Learning)
Location : Santa Clara, CA

Job Description:
? Selecting features, building and optimizing classifiers using machine learning and Deep Learning techniques
? Data mining using state-of-the-art methods
? Extending company’s data with third party sources of information when needed
? Enhancing data collection procedures to include information that is relevant for building analytic systems
? Processing, cleansing, and verifying the integrity of data used for analysis
? Doing ad-hoc analysis and presenting results in a clear manner
? Creating automated anomaly detection systems and constant tracking of its performance
? Responsible for doing POC on all 3 cloud ( GCP, AWS and Azure)environments Experience with common data science toolkits, such as R, Weka, NumPy,MatLab, etc .
Excellence in at least one of these is highly desirable.
? Experience with data visualization tools, such as D3.js, GGplot, etc.
? Proficiency in using query languages such as SQL, Hive, Pig
? Good applied statistics skills, such as distributions, statistical testing,regression, etc.
? Experience doing quantitative analysis.
? Excellent understanding of machine learning/deep learning techniques and algorithms
? Fluency in SQL or other programming languages. Development experience in atleast one scripting language (PHP, Python, Perl, etc
? Ability to initiate and drive projects to completion with minimal guidance
? The ability to communicate the results of analyses in a clear and effective manner
? Understanding of statistical analysis.
? Preferred experience with a statistical package such as R, MATLAB, SPSS,SAS, Stata, etc.
? Experience with large data sets and distributed computing (Hive/Hadoop) a plus.
? Must have a strong proficiency using Tensor Flow, MXNet, Theano, Caffe orother open source frameworks. Solid understanding of underlying concepts of Tensor Flow (as an example) to understand/enhance the inner workings of an AI framework of choice
? A very strong mathematical, statistical and probability background is Mandatory along with deep understanding of some AI concepts.
? Strong background in one or more of : Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Pattern Recognition.
? Experience with Big Data technologies Hadoop / Spark / Kafka / HBase /Aerospike/ Elasticsearch - big plus
             

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