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

📌 Developer Data Science -Analytics (India)
🏢 Teamlease Digital Private
📍 India