Developer Data Science -Analytics

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