What you will do-
Translate stakeholder requirements to potential AI & data science solutions independently.
Contribute to discussions on identifying opportunities where machine learning can be applied to real-world business opportunities with key stakeholders.
Support data science and AI collaboration efforts with partners across functions and teams
Build and deliver presentations and communications that explain critical functions and findings to stakeholders with some guidance.
Apply fundamental and some advanced concepts, practices and procedures for problem solving
Automate repetitive data prep, feature engineering, and model monitoring pipelines with AI-driven tools.
Explore and integrate large language models (LLMs) and generative AI solutions to accelerate exploratory data analysis, reporting, and knowledge discovery.
Partner with engineering teams to operationalize models, embedding automation into core products and processes.
Continuously evaluate and improve model performance using automated monitoring, retraining, and alerting systems
Ability to manage individual tasks with minimal guidance and flag project risks as they are identified.
What you will need-
Required-
Bachelor's Degree in data science, computer science, mathematics, statistics, or related field with applicable data science work experience. And Master's Degree or PhD in Data Science or quantitative discipline preferred.
Experience- 7 years - 10 years
Expert proficiency in at least one programming language central to AI and Data Science (e.g. Python).
Familiarity with AI automation platforms and cloud-based native tools such as data storage, distributed computing, business intelligence, and infrastructure as code (Power BI, Azure, Fabric etc.).
Preferred-
Proficient in at least two statistical techniques (e.g. time series modelling, classification, computer vision); in identifying the most appropriate statistical tool for a particular use case and project.
Familiarity with a variety of visualizations (e.g. correlation heat maps, bubble charts) and demonstrate financial acumen to develop financial impacts for existing projects and evaluating new opportunities
Nice to have: Microsoft Azure or Fabric data science/ AI related certifications here.
Skills Required
- Bachelor's degree in data science, computer science, mathematics, statistics, or related field with applicable data science work experience
- Master's Degree or PhD in Data Science or quantitative discipline
- 7 to 10 years of relevant experience
- Expert proficiency in at least one programming language central to AI and Data Science (e.g., Python)
- Familiarity with AI automation platforms and cloud-native tools such as data storage, distributed computing, business intelligence, and infrastructure as code (Power BI, Azure, Fabric)
- Proficient in at least two statistical techniques (e.g., time series modeling, classification, computer vision)
- Familiarity with a variety of visualizations and ability to develop financial impact analyses
- Microsoft Azure or Fabric data science/AI-related certifications
Stryker Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stryker and has not been reviewed or approved by Stryker.
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Healthcare Strength — Multiple medical plan options with HSA support and global mental‑health access indicate broad, accessible care. These features materially enhance the overall value of the total‑rewards package.
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Retirement Support — A meaningful 401(k) company match with potential additional company contribution, alongside an ESPP, supports long‑term savings and wealth building. Documented plan specifics help employees understand eligibility, timing, and vesting mechanics.
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Parental & Family Support — Paid parental and caregiver leave, adoption and surrogacy assistance, and practical supports like breast milk shipping reflect a comprehensive, family‑friendly approach. These offerings address varied family‑building paths and caregiving needs.
Stryker Insights
What We Do
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 130 million patients annually. More information is available at www.stryker.com. Together with our customers, we are driven to make healthcare better.
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