Stryker is one of the world’s leading medical technology companies and, together with our customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World’s Best Workplaces and a Best Workplace for Diversity by Fortune Magazine. Learn more about our award-winning organization by visiting stryker.com
Who we want:
Detail-oriented process improvers. Critical thinkers who naturally see opportunities to develop and optimize work processes - finding ways to simplify, standardize and automate.
Data managers. People who enjoy compiling, organizing and consolidating large volumes of data and reports.
Collaborative partners. People who build and leverage cross-functional relationships to bring together ideas, information, use cases, and industry analyses to develop best practices.
Analytical problem solvers. People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues.
What you will do:
This position will grow Stryker Acute Care capabilities in data analytics and management.The Data Scientist will be responsible for discovering information hidden in our data to derive value for medical products and services, improve decision making, and build predictive algorithms to enhance outcomes and economic value.This position will be part of the Acute Care R&D team and will bring strong quantitative skills to our data science capabilities.In this position you will be engaged on projects that use advanced analytics techniques, such as optimization, forecasting, machine learning, predictive maintenance, and statistical analysis to develop solutions that help deliver significant value and clinical outcomes to internal and external customers.
Work with clinical, image, device, wearable, and demographic data to perform a variety of data mining and data analysis, using a variety of data tools, building predictive models as well as creating algorithms and simulations.
Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources to compare clinical outcomes
Evaluate and manage third party vendors contracted to support data science related initiatives when applicable
Work with various stakeholders throughout the organization as well as various customers to understand their needs and support them in applying various kinds of advanced analytics methods, such as predictive modeling or machine learning, to extract and visualize relevant information for solving problems in medical technologies
Continuously seek out industry best practices and develop skills to create new capabilities for data analytics to improve business decisions and outcomes
Participate on cross-disciplinary project team of product engineers, data analysts, and business subject-matter experts to complete project deliverables
Identify and support business needs and recommend holistic solutions that integrate with existing data and technical solutions
Effectively communicate and present complex analytics to stakeholders and customers
Develop and code models by applying algorithms to large structured as well as unstructured data sets for complex projects
Develop visualization products to share analysis across a large group of business users
Implement models and visualizations into production data pipelines and analytics solutions that can be designed for production implementation in addition to research initiatives
Identify and act upon opportunities to improve the system process flow, performance, and technical efficiencies
Contribute to competitive and market strategy by demonstrating in-depth knowledge of the market, customer dynamics and competitive offerings.
Apply strong understanding of clinical procedures to enhance product development.
Contribute to and execute customer facing activities like voice of customer and customer centric design in partnership with internal and external stakeholders.
Demonstrates financial acumen.
Work cooperatively with R&D, Quality, Manufacturing, Regulatory, Clinical, Marketing and Project Management to ensure project success, both leading and influencing other leaders on the team.
Identify and lead the creation of or improvements to procedures, policies, processes, systems, and technology required.
Execute and lead segments of complex product development to advance projects through the design /development/launch process.
Contribute to complex product development through release and lead one technical area of expertise.
Hold self and others accountable to deliver high quality results with passion, energy and drive to meet business priorities.
Mentor, develop and inspire others in current and future roles.
What you will need:
Bachelor's in Software Engineering/ Computer Science with strong background in Statistics, Mathematics or related discipline and 6+ years of work experience
Preferred Master's Degree in Data Science, Applied Mathematics or Bioinformatics
Minimum of 2 years of experience working with cloud-based solutions in Azure (Preferred), AWS, or similar
Ability to analyze business situations and apply excellent organizational/communication skills and attention to detail in business case evaluation and requirements analysis
In-depth knowledge of supervised and unsupervised learning algorithms e.g. Linear regression, GLMs, tree-based models, neural networks, clustering, PCA, and time series models.
Proficiency in statistical tools / languages such as R (e.g. tidyverse, caret, mlr), Python (e.g. pandas, scikit-learn, numpy, scipy), Spark - MLlib, H20, or other tools Experience with contemporary deep learning frameworks such as TensorFlow and PyTorch.
Competency with various query languages and databases such as SQL (T-SQL, PL/SQL, Spark SQL)
Strong data analysis and problem-solving skills
Experience with Data Engineering and Data Architecture such as ETL/ELT pipelines, data movement and data quality with Big Data, relational and dimensional modeling, and unstructured data stores
In-depth knowledge of databases, data modeling, and distributed computing frameworks
Experience in software development environments using Agile / SCRUM, and code management/versioning (e.g. git)
Experience developing and testing statistical models and/or machine learning
Stryker is one of the world's leading medical technology companies and, together with our customers, we are driven to make healthcare better. The Company offers a diverse array of innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. Stryker is active in over 100 countries around the world.
Together with our customers, we are driven to make healthcare better.
At Stryker, quality is first in everything we do. We are driven to make healthcare better for our customers by
providing innovative products and services that meet regulatory requirements through our effective quality system.
The Company was founded in 1941 by Dr. Homer Stryker and incorporated in 1946 as the Orthopedic Frame Company. In 1964, the Company’s name was changed to Stryker Corporation.
• $13.6 billion in annual sales in 2018; annual revenue has grown for 39 straight years
• 17.1% CAGR (compound annual growth rate) in sales over 39 years
• ~36,000 employees globally in 2018
• 43 manufacturing and research & development locat...ions worldwide
• Included in the Standard & Poor’s 500 Index
• Ranked # 233 on Fortune Magazine’s “FORTUNE 500” list for 2019
• Ranked # 3 on Fortune Magazine’s “World’s Most Admired Companies” list for the “Medical Equipment” industry for 2019
• Ranked # 11 on Fortune Magazine’s “100 Best Companies to Work For” list (U.S.) for 2019
• Spent $862 million on R&D in 2018
• 7,784 patents owned globally in 2018
• Initial public offering of stock was in 1979
• Listed on the New York Stock Exchange under ticker SYK