Data Science-Lead

Responsibilities

• Prepare tables, listings, and figures and assist in the preparation of pharmacometric reports, for filing with health authorities and responses to queries from health authorities.
• Develop and maintain competence in UNIX, Spotfire, R, Python and various Linux/UNIX tools including bash.
• Install supporting libraries and test migrated libraries.
• Configure AWS Code, Check Commit/ GitHub instances.
• Test access to AWS Data Lake & connectivity to consumption layer.
• Develop innovative technologies to improve workflows.
• Mentor junior programmers in the group.

Required Skills

• Should be able use SageMaker to expose the models endpoint as a service.
• Excellent SAS programming language skills, especially the SAS DATA step and those PROCs necessary to manipulate data.
• Ability to implement sophisticated algorithms to derive complex data sets and address data issues.
• Very strong attention to quality and detail, and the ability to detect data anomalies.
• Excellent interpersonal and communication skills.

Required Experience

• Experience in AI/ML Ops role, Models configuration and deployment into AWS.
• Experience in Configuration of model invoke points, API etc.
• Need experience in creating workflows in AWS, specifically Step Function.
• Experience in trouble shooting and de-bugging when things don’t work.
• Experienced data scientist (10+ years) with experience predictive modelling and data mining skills.
• Hands-on R/Python experience.

Education Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.