Job Description:
As a Senior Data Scientist you will be responsible for building complex ML
models and delivering key business insights and metrics for the
organization.
Experience implementing ML algorithms such as Logistic Regression,
Naive Bayes, Bayesian Network, Decision Tree, Neural Network,
SVM, Random Forest, convex optimization, transfer learning.
Hands-on experience on a minimum of 2 projects that involves either
ML or Deep Learning(Theano OR Keras OR Tensorflow).
Excellent organizational and analytical skills.
Exposure to REST concepts.
Expert knowledge developing and debugging in Node.js or Python.
Contribute to the production solutions development, testing, and
deployment.
Mentor team members
Job Responsibilities:
Experience implementing ML algorithms such as Logistic Regression,
Naive Bayes, Bayesian Network, Decision Tree, Neural Network,
SVM, Random Forest, convex optimization, transfer learning.
Hands-on experience on a minimum of 2 projects that involves either
ML or Deep Learning(Theano OR Keras OR Tensorflow).
Excellent organizational and analytical skills.
Exposure to REST concepts.
Expert knowledge developing and debugging in Node.js or Python.
Contribute to the production solutions development, testing, and
deployment.
Mentor team members
Candidate Attributes:
Min 5+ years of industrial experience in predictive modeling and analysis,
predictive software development.
Experience in mentoring junior team members and guiding them on
machine learning and data modeling applications.
Strong communication and data presentation skills
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