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 (India)
🏢 Teamlease Digital Private
📍 India