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Staff Data Scientist

Stryker
Remote
Gurugram, India· 2 months ago

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Staff Data Scientist

Location: Gurugram, India

Time Type: Full time

Job 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-

  • Bachelors Degree in data science, computer science, mathematics, statistics, or related field with applicable data science work experience. And Masters 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%

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