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 prospects 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 f

📌 Staff Data Scientist Gurugram
🏢 Stryker
📍 Gurugram