Job Description:

Must have experience in statistical programming in Python using libraries like sci-kit, tensorflow, pytorch, spacy

Enthusiast to build enterprise grade product to be used by Data scientist.

Experience working in a Unix/Linux environment for automating processes with shell scripting

Help establish standards in machine learning and statistical analysis to ensure consistency in quality across projects and teams and identify relevant process efficiencies

Analyze raw data: assessing quality, cleansing, structuring for downstream processing

Good to have experience in deep learning frameworks

Knowledge on Model interpretability

Experience in Text Analytics

Experience in Docker and Kubernetes will be added advantage

Advanced level proficiency with statistical, machine learning modelling techniques such as regression, decision trees, neural networks, support vector machines, supervised/unsupervised clustering techniques, experimental test design, etc.

Expert theoretical knowledge of machine learning modelling techniques and advanced applied skills in developing predictive targeting models within distributed computing platforms such as Hadoop, AWS, Azure, GCP using one or more tools like Spark, Scala, SAS, R, Python, Bayesian, H2O, Storm, Yarn, Kafka.