Data Science Engineer Jobs

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

Data science Engineer

Make an impact! At Abbott we’re empowering people to manage their health with digital technologies that interface with the nervous system. This opportunity directly supports Abbott’s Neuromodulation business, a fast-growing business, offering the most innovative Spinal Cord and Deep Brain Simulation platforms in the market. Abbott’s Neuromodulation business has a large Product Development site in Plano (Dallas), Texas, where this position is based. Abbott is creating groundbreaking high-quality products designed and built with the betterment of human life as the primary focus. It’s our people who make this all happen. We are thinkers, problem solvers, and innovators working together to constantly challenge the status quo. 

The Data Scientist is responsible for analyzing and interpreting complex raw data, transforming it into valuable insights and algorithms that align with neural technologies. The Data Scientist contributes technical expertise in the innovation, design, enhancement, testing, and implementation of data-driven solutions that integrate with the system. Additionally, they collaborate closely with business stakeholders to identify the key components of successful product designs and substantiate claims related to the design and its underlying mechanisms. By cultivating and disseminating their expertise, the Data Scientist ensures that all data-driven decisions are supported by robust and credible scientific evidence.

Duties

• Utilize various programming languages to transform big data into actionable insights
• Assess complex technical challenges and define solutions to address business imperatives
• Collaborate with Technologists to integrate and process data feeds, creating and testing new scalable data sets
• Engage with non-technical stakeholders to comprehend business needs and define technical architecture requirements for next-generation products
• Work with cross-functional teams, including product management, development, quality, regulatory, and operations, to develop innovative strategies and business architectures
• Generate extensive databases from diverse sources of structured and unstructured data
• Analyze data and produce statistical information to identify trends and patterns
• Develop scalable machine learning pipelines and employ feature engineering and optimization techniques to enhance data set performance
• Understand product delivery phases and provide expert analysis across product life cycles, contributing to decision-making processes
• Mentor cross-functional teams on system usage and product integration across regulated and non-regulated software products
• Provide senior management with data on current trends and threats in the Firmware and Software industry
• Translate technical data into simple language, delivering recommendations and conclusions to stakeholders
• Interface with third-party software companies to integrate, optimize, and stabilize platform system software
• Create interactive dashboards that incorporate real-time data and visuals, experience with Power BI is a plus

Qualifications

• Capacity to contribute to multiple projects and demands simultaneously
• 2+ years of experience with data analytics and Machine Learning, including linear and non-linear regression, logistic regression, models, classification techniques, clustering, dimensionality reduction, k-NN, and pipeline development
• 4+ years of experience as an engineer or data scientist
• Ability to leverage and/or engage others to achieve project goals
• Ability to clean and validate data for uniformity and accuracy
• Proficiency in various programming languages, such as Java, C, C++, Python, R, and strong coding skills
• Experience in AI techniques and their application in data analysis and processing
• Basic understanding of statistical methods for analyzing and drawing conclusions from research data
• Experience in data visualization and presenting data in graphical or pictorial formats like power bi
• Strong technical leadership and the ability to continuously build, leverage, and influence a large network of senior technology and business experts across a diverse enterprise and external partners: vendors, standards bodies, analysts, and academia
• Ownership mentality with the ability to independently manage complex initiatives and projects, proactively seeking solutions to arising issues
• Ability to work both within a team and independently in a fast-paced, agile environment
• Solid verbal, written, and interpersonal communication skills, with the ability to effectively communicate at multiple levels within the organization
• Proficiency in designing algorithms and using statistical and problem-structuring methods
• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Biomedical Engineering (with neural experience), Data Science, or a related technical field