[Remote] Senior Data Scientist
Note: The job is a remote job and is open to candidates in USA. Norstella is a company dedicated to helping clients bring life-saving therapies to market more quickly. They are seeking a Senior Data Scientist to leverage data and AI/ML technologies to extract actionable insights that drive decision-making and improve patient access to therapies.
Responsibilities
- Collaborate with product partners and others to identify new opportunities to apply AI / ML to our content and products
- Conduct research and identify AI / ML algorithms and methods to solve specific business problems
- Implement rigorous testing and evaluation of potential solutions; review indicative results and proof-of-concepts with multi-disciplinary teams as part of customer-led product development
- Deploy your solutions as production-grade microservices in collaboration with engineering and DevOps teams
- Contribute towards common data science platforms and data assets
- Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
- All other duties, as assigned
Skills
- Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience
- 5+ years of experience developing AI / ML applications and data driven solutions
- Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc
- Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation
- Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc
- Understanding of CS 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 a project holistically at a high level
- Experience mentoring junior team members
- Deep expertise in engineering agentic AI systems
- Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data
- Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage
- Ability to prototype PoC webapps with familiarity across the full stack
- Expert usage of AI coding tools and workflows
Benefits
- Medical and Prescription Drug Benefits
- Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)
- Dental & Vision Benefits
- Basic Life and AD&D Benefits
- 401k Retirement Plan with Company Match
- Company Paid Short & Long-Term Disability
- Paid Parental Leave
- Open Vacation Policy& Company Holidays
- Discretionary bonus
Company Overview