Sr Staff Data Scientist
- Understand business problems and identify opportunities to implement data science solutions.
- Develop, verify, and validate analytics to address customer needs and opportunities.
- Design, develop, and deploy machine learning models and algorithms
- Work in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
- Collaborate with data scientists to optimize RAG and LLM pipelines for performance and accuracy.
- Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models.
- Interact with cloud services and develop and deploy models within cloud environments such as AWS, Azure, Google Cloud, and Databricks
- Perform exploratory and targeted data analyses using descriptive statistics and other methods.
- Work with data engineers on data quality assessment, data cleansing, data analytics, and model product ionization
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Communicate methods, findings, and hypotheses with stakeholders.
- Mentor colleagues in technical areas and drive standardization across the analytics enterprise
- Review data science/AI projects for technical rigor
- Bachelor's degree from accredited university or college with minimum of 6 years of professional experience OR associates degree with minimum of 8 years of professional experience
- 4 years proficiency in Python (mandatory)
- 3 years demonstrated expertise in cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services
- 3 years demonstrated expertise working and leading in team settings in various roles
- Note: Military experience is equivalent to professional experience
- Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
- Demonstrated skill in defining and delivering customer value.
- Demonstrated expertise communicating complex information to executive stakeholders
- Demonstrated expertise in critical thinking and problem-solving methods
- Demonstrated experience deploying and managing CI/CD pipelines
- Demonstrated skill in data management methods and analytic scaling
- Demonstrated skill in prescriptive analytics and analytic prototyping.
- Demonstrated skill in solutions integration
- Demonstrated skill in serving as a change agent.
- Demonstrated skill in working in ambiguous environments.
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