{"@context":"https://schema.org","@type":"JobPosting","title":"Developer Data Science -Analytics","description":"

3-5 years experience building solutions on Data Science platforms and applications

• 2-3 years Experience with Databricks/Snowflake, AWS Data Science services, Spark, Python, Scala, R, Neo4J, Linux and ML processes.

• Experience with Life Sciences related business process domains, such as R&D, manufacturing, quality, and supply chain is beneficial

• Experience with data visualization tools is a plus (PowerBI, Tableau).

• Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms is a plus

Specialty Expertise in at least in few of the following areas:

• Experience with scaling big data workloads that are performant and cost effective

• Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration

• Experience designing data solutions on cloud infrastructure and services, such as AWS and/or Azure, utilizing best practices in cloud security and networking

• Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like ML flow

• Experience with NoSQL and/or graph databases

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