Stryker
Staff Data Scientist
- Compensation
- Not disclosed
- Location
- Gurugram, India
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- 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
- 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.).
Nice to have
- 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 proj
- 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 opportun
- Nice to have: Microsoft Azure or Fabric data science/ AI related certifications here.
Full description
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.
Travel Percentage: 10%