Senior Data Scientist (Remote) Job Opportunity at Stryker

Work Flexibility: Remote

Role Overview

As the Sr. Data Scientist, you will be a pivotal partner to the business, applying AI/ML/Data science techniques to address complex business challenges and generate actionable insights. Your contributions will be instrumental in enhancing performance, optimizing contract outcomes, and refining pricing strategies for Customer Solutions.

Who We Want

Goal-Oriented Innovators

Individuals who deliver innovative, scalable, and robust solutions with the customer and system requirements in mind to drive growth.

Collaborative Partners

Professionals who build and leverage cross-functional relationships to merge ideas, information, use cases, and industry analyses, developing best practices.

Self-Directed Initiators

Individuals who take ownership of their work, driving productivity, change, and outcomes independently.

Curious Learners

Professionals who seek out cutting-edge research to enhance their ability to transform new ideas into reality.

What You Will Do

• Independently translate stakeholder requirements and pain points into potential data science solutions.
• Lead discussions leveraging domain expertise across Stryker enterprise functions.
• Deliver presentations that build data science credibility and rapport to medium-sized groups with some guidance.
• Mentor others in root cause analysis and advanced troubleshooting.
• Identify opportunities for machine learning application to real-world business problems.
• Utilize your strong AI/data science background to address business issues.
• Successfully deliver machine learning projects related to sales and commercial operations.
• Execute and deliver projects within the team’s project portfolio.
• Translate business needs into data science solutions and lead project deliverable execution.

Required Qualifications

• Bachelor’s Degree in Data Science, Computer Science, Mathematics, Statistics, or a related field with applicable work experience. Master’s Degree or higher preferred.
• 4+ years of professional experience in a related role.
• Proficiency in programming languages central to AI/Data Science (e.g., Python) with proven business application experience in sales, commercial operations, and marketing.
• Expertise in statistical models for forecasting, predicting, and recommending scenarios (e.g., time series, econometric methods) with advanced proficiency in at least two techniques.
• Experience in selecting the most appropriate statistical tool for use case projects.
• Proficiency in cloud-based native tools, including Azure services, resources, data storage (SQL), Power BI, CI/CD, MLOps, and GitHub.
• Familiarity with visualization tools (e.g., correlation heat maps, Power BI, Tableau).
• Experience in software development lifecycle concepts, tools, and best practices.
• Experience with end-to-end data science and app development from problem definition to model validation and deployment.
• Experience with web application and UI development (e.g., Figma, R Shiny, Flask) preferred.
• Knowledge of infrastructure as code is a plus.

Compensation

Salary range: $98,000 - $210,100, plus bonus eligibility and benefits. Actual pay may vary based on location, skills, experience, and other relevant factors.

Travel Percentage

10%

About Stryker Corporation

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 discriminate against employees or applicants for inquiring about, discussing, or disclosing their own pay or the pay of another employee or applicant. However, those with access to compensation information as part of their essential job functions cannot disclose the pay of other employees or applicants to those who do not otherwise have access, unless the disclosure is (a) in response to a formal complaint, (b) in furtherance of an investigation, or (c) consistent with the contractor’s legal duty to