About the role
Work Flexibility: Hybrid
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 & Tags
Aplyr's read
Stryker excels in medical technology, attracting professionals passionate about innovation in orthopedics, surgical, and neurotechnology solutions.
What's promising
- •Stryker's innovative products lead advancements in orthopedics and neurotechnology.
- •Global presence offers diverse career opportunities across multiple regions.
- •Strong focus on research and development fosters continuous innovation.
What to watch
- •High competition in the medical technology sector may impact market share.
- •Regulatory challenges can affect product launch timelines.
- •Complex organizational structure may slow decision-making processes.
Why Stryker
- •Stryker's commitment to innovation in medical technology sets it apart.
- •Diverse product range across orthopedics, surgical, and neurotechnology.
- •Strong emphasis on employee development through varied roles and internships.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Stryker
Stryker is a global leader in medical technology, offering innovative products and services in orthopedics, medical and surgical, and neurotechnology and spine.
