Senior Specialist, Data Science

Job Description

Our Company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Our Company has codified its 125-year legacy. Our Company's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Our Company's Global Commercial Human Health division partners with colleagues from across all geographies and divisions to help serve our patients and customers around the world. This position is a “hands-on” role which is global in nature, working closely with delivery leaders across divisional and enterprise IT teams.

The role involves working with our partners across the organization to help them create scalable and production-grade AI/ML products. You will be working with a scrum team comprising of data scientists, business analysts, data engineers, and subject matter experts to deliver well-defined projects. You will be tasked with designing and creating machine learning models and retraining systems. Often, you will have to take a model prototype built by a data scientist and work with the team to put that model in production. This will involve making the model scalable and efficient (parallelizing, using appropriate libraries, adding basic efficiencies from the code/data/architecture etc.). This can also entail building or rewriting the model from scratch. Creating a model governance architecture for retraining (upon drift) will also be your responsibility. In addition, creating the architecture/framework for performance evaluation and feedback loop will also be expected, prior to handover to ML Ops team.

Your model deployment will most likely be in the cloud, and we’ll look for the appropriate experience at your end. Some reporting and visualization skills will come in handy too. You don’t have to be an expert in any of these topics but need to be able to demonstrate aptitude and some experience. Experience with healthcare data is a plus. Healthcare data is sometimes unstructured and mostly in the form of text and images, so NLP and/or computer vision experience is a desirable. We will look to your help in creating technical roadmaps for the projects, and in their nimble execution. We are looking for someone with 2+ years of experience in the data science/engineering space.

Primary Responsibilities:

• Work on Time-series forecasting using statistical and ML methods like LSTM, ARIMA, etc.

• Work on …