Staff Data Scientist, Machine Learning
Valo HealthFull Time
Junior (1 to 2 years), Senior (5 to 8 years)
Candidates should possess rigorous analytical, ML, and AI capabilities with a pragmatic mindset, along with versatility and a desire for continuous learning. Experience working on a geographically distributed team and in a technology-driven environment utilizing the latest tools and techniques is required.
The Data Analyst will craft and maintain data infrastructure by translating business requirements into data models, and utilize technologies to collect, clean, analyze, predict, and communicate information. They will proactively analyze data and trends to provide insights, build and optimize predictive models using machine learning, and create dashboards and reports for stakeholders. Responsibilities also include ensuring data quality, contributing to data security, collaborating with cross-functional teams, providing training, and staying updated with data science developments.
Healthcare solutions in diagnostics and devices
Abbott Laboratories focuses on improving health through various medical technologies and health solutions. The company operates in areas such as cardiovascular health, diabetes management, diagnostic testing, nutrition, and neuromodulation for chronic pain and movement disorders. Abbott's products include advanced medical devices and diagnostic tests that help healthcare professionals and patients manage health conditions effectively. For example, their cardiovascular technologies assist in heart health management, while diabetes care products enable accurate glucose monitoring without painful fingersticks. Unlike many competitors, Abbott emphasizes accessibility and affordability in its offerings, aiming to make life-changing technologies available to a broader audience. The company's goal is to positively impact global health and well-being, supported by a commitment to sustainability and a 2030 Sustainability Plan.