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Principal Data Scientist, Connected Care in Portage, MI at Stryker Corporation

Date Posted: 12/11/2018

Job Snapshot

  • Employee Type:
  • Location:
    Portage, MI
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
  • Job ID:

Job Description

Working at the forefront of artificial intelligence and machine learning…this position will grow Stryker’s capabilities in data analytics and management. This role will work with various datasets that can inform us about our products, markets, and customers, improve clinical outcomes, and improve our business practices. This position will be part of the Connected Care Data Science Team and will bring strong quantitative skills to our data science capabilities. This position is part of a multidisciplinary team exploring, connecting and mining internal and external data sources and will develop data models using algorithms for pattern detection, maintenance, and forecasting. 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 to a variety of internal business units. Candidates will be exposed to a wide spectrum of high visibility projects ranging from product effectiveness, time series forecasting, operational efficiency, and financial analysis.


  • Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope
  • Identify and support business needs and recommend holistic solutions that integrate with existing data and technical solutions
  • Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources
  • 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 database engineers, data scientists, and business subject-matter experts to complete project deliverables
  • Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more 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

Qualifications/Work Experience Preferred:

  • Minimum 6 years relevant work experience (if bachelor’s degree) or minimum 3 years relevant work experience (if master’s degree) with a proven track record in driving value in a commercial setting using data science skills
  • Minimum of 2 years of experience working with cloud-based solutions in Azure, 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 various modeling algorithms e.g. Linear, GLMs, tree-based models, neural networks, clustering, PCA, and time series models.
  • Proficiency in statistical tools / languages such as R (e.g. ggplot2, cluster, dplyr, caret), Python (e.g. pandas, scikit-learn, bokeh, nltk), Spark – MLlib, H20, or other tools
  • Strong data analysis and problem solving skills, including excellent SQL (T-SQL, PL/SQL, Spark SQL) skills
  • Experience with Data Engineering and Data Architecture such as ETL/ETL pipelines, data movement and data quality with Big Data, relational and dimensional modeling, and unstructured data stores
  • Minimum 2 years of experience working in a data science or machine learning environment
  • In-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks
  • Experience in software development environments using Agile / SCRUM, and code management/versioning (e.g. git)
  • Experience developing and testing machine learning and/or statistical projects
  • Experience “productionizing” machine learning and/or statistical projects with solutions that are well designed, thoroughly tested/validated, and implemented in highly scalable and highly available commercial products
  • Ability to understand complex and ambiguous business needs
  • Must be curious, self-motivating, driven and have a passion for problem solving
  • Collaborative team player

Education/Special Training Required:

Bachelor’s degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields.  Preferred Master’s in Data Science, Applied Mathematics, or Bioinformatics.

Work From Home: No

Travel Percentage: Up to 25%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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