Staff Data Scientist
Stryker · Gurugram, India · full time · On site · July 06, 2026
Why a CV for this job?
- They see what they asked for, first. Your experience that matches the ad leads, in the ad's own words, so someone skimming finds it in seconds.
- It gets past the software. Many larger employers use software that ranks CVs by how closely they match the ad, often before anyone reads them.
- In the language of the ad. An ad written in Spanish gets a CV in Spanish, even when yours is in Portuguese.
- Your facts, nothing invented. Your own experience, reordered and reworded. What the ad wants and your CV does not show is listed for you to add, only if it is true. You check it before you send it.
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.
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%
- Employer
- Stryker
- Location
- Gurugram, India · On site
- Contract
- full time