Data Scientist - R/Python - IT

Data Scientist - R/Python

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

- Experience in deep learning frameworks

- Enthusiast to build enterprise model as Data scientist.

- Knowledge on Model interpretability (Explainable AI) and experience in

Text Analytics :

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

- Experience in Docker and Kubernetes will be added advantage

- Collaborate with engineering team to bring analytical prototypes to production

- Develop and implement scalable algorithmic solutions for real-time operations and information flow systems

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

- Sound knowledge of 2-3 ML areas from below :

a. Random Forest

b. Decision Tree

c. ARIMA

d. Logistic Regression

e. K-nearest cluster

f. Or Deep Learning side - Image Mining/Open CV

g. Or NLP/Text Analytics

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