Brillio 21mo ago

ASCO - Data Specialist - R01562933

IndiaEmployeemid

Data ScienceOtherData EngineeringData Specialist

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Overview

Data Specialist Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML),…

Technical Tools

awsdynamodbpythonpytorchsparktensorflowterraformdatabase-designetlforecastingmicroservicesrest-apisstatistical-modelingsystem-design

Data Specialist

Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

Data Science Advanced: Data Specialist

skills: strong experience with AWS Serverless Architecture (including API Gateway, AWS Lambda with a preference for Python, Amazon SQS, DynamoDB, and AWS Secrets Manager), proficiency in Python for backend and data processing, experience with event-driven and asynchronous architectures, a strong understanding of REST APIs and microservices design, and hands-on experience with Terraform for infrastructure as code. On the data and system design front, the ideal profile should also have experience with real-time data pipelines and streaming patterns, strong knowledge of NoSQL database design (particularly DynamoDB), an understanding of data validation, transformation and ingestion patterns, and the ability to design for high availability, scalability, and fault tolerance.