Principal Data Scientist - REMOTE at Jobgether – United States
Jobgether
United States, United States
Posted on
NewJob Function:Science
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About This Position
Principal Data Scientist - REMOTE
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Scientist - REMOTE. In this vital role, you will serve as a senior individual-contributor authority on semantic modeling, context engineering, and AI-first data science. Your work will enable high-performing machine learning approaches and generative AI systems through well-architected context. As an AI Context Architect, you will design foundational semantic structures that improve the accuracy, explainability, and performance of AI systems, collaborating across multiple domains to make a significant impact in life sciences and healthcare.Accountabilities
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Scientist - REMOTE. In this vital role, you will serve as a senior individual-contributor authority on semantic modeling, context engineering, and AI-first data science. Your work will enable high-performing machine learning approaches and generative AI systems through well-architected context. As an AI Context Architect, you will design foundational semantic structures that improve the accuracy, explainability, and performance of AI systems, collaborating across multiple domains to make a significant impact in life sciences and healthcare.Accountabilities
- Define enterprise-grade semantic representations for healthcare/life-sciences concepts.
- Create and maintain semantic schemas, ontologies, and knowledge-graph models optimized for AI reasoning.
- Establish context engineering standards for data shaping into prompts and structured outputs.
- Lead feature engineering strategy directly impacting model performance.
- Perform exploratory data analysis on complex datasets to identify predictive signals.
- Build and evaluate context-aware ML/GenAI solutions integrating semantic layers.
- Architect and implement retrieval and memory patterns.
- Translate domain needs into semantic and AI roadmaps.
- Doctorate degree with 2 years or Master's degree with 4 years in Data Science or related field.
- 10+ years applying data science in enterprise environments preferred.
- Deep expertise in semantic modeling and knowledge graphs.
- Strong understanding of machine learning fundamentals and performance drivers.
- Practical experience with RAG/retrieval and vector search solutions.
- Working knowledge of reinforcement learning concepts.
- Proficiency in Python and modern data/ML stacks.
- Exceptional stakeholder management skills.
- Comprehensive employee benefits package including medical, dental, and vision coverage.
- Retirement and Savings Plan with generous company contributions.
- Discretionary annual bonus program.
- Stock-based long-term incentives.
- Award-winning time-off plans.
- Flexible work models where possible.
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Job Location
United States, United States