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Senior Data Scientist
Skills
Computer ScienceDevopsFull-Stack DevelopmentComputational ComplexityContextECSEnhanced Data Rates For GSM Evolution
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Graduate degree in a STEM field or equivalent practical experience
- 5+ years developing AI / ML applications and data-driven solutions
- Strong Python skills and experience with pandas scikit-learn and LangChain
- Experience with LLMs prompt engineering and retrieval augmented generation
- Broad knowledge of Generative AI NLP Deep Learning and related techniques
- Understanding of computer science fundamentals computational complexity and algorithm design
- Ability to engineer and deploy well-architected software packages
- Strong communication and stakeholder management skills
- Ability to independently own and execute projects holistically
- Experience mentoring junior team members
Nice to have
- Deep expertise in agentic AI systems
- Healthcare or pharma domain knowledge
- AWS experience
- Full-stack prototyping ability
- AI coding tool expertise
Day to day
- Collaborate with product partners and cross-functional teams to identify and prioritize new AI and machine learning opportunities across content and products.
- Research, evaluate, and apply advanced algorithms and methods to solve specific business problems with rigorous experimentation and proof-of-concepts.
- Deploy production-grade microservices and contribute to shared data science platforms while continuously learning and presenting emerging advances to internal teams.