GE Aerospace - Cincinnati, OH

posted 4 months ago

Full-time - Senior
Cincinnati, OH
Transportation Equipment Manufacturing

About the position

The Sr. Staff Data Scientist will lead teams as a technical domain expert, addressing statistical, machine learning, and data understanding challenges in a commercial technology and consultancy development environment. This role involves working with large, complex data sets and collaborating with cross-disciplinary teams to develop and deploy machine learning models, ensuring efficient data retrieval and augmentation processes.

Responsibilities

  • Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
  • Ensure efficient data retrieval and augmentation processes to support LLM training and inference.
  • 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.
  • Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value.
  • Develop, verify, and validate analytics to address customer needs and opportunities.
  • Work as part of a cross-functional team to translate algorithms into commercially viable products and services.
  • Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
  • Perform exploratory and targeted data analyses using descriptive statistics and other methods.
  • Work with data engineers on data quality assessment, data cleansing and data analytics.
  • Generate reports, annotated code, and other project artifacts to document, archive, and communicate your work and outcomes.
  • Communicate methods, findings, and hypotheses with stakeholders.

Requirements

  • Bachelor's degree from accredited university or college with minimum of 5 years of professional experience OR associate degree with minimum of 8 years of professional experience OR High School Diploma with minimum of 10 years of professional experience.
  • Minimum 5 years of professional experience in Computer Science or "STEM" majors (Science, Technology, Engineering and Math).
  • Military experience is equivalent to professional experience.

Nice-to-haves

  • 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 defining and delivering customer value.
  • Demonstrated expertise working in team settings in various roles.
  • Demonstrated expertise in critical thinking and problem-solving methods.
  • Demonstrated expertise in presentation and communications skills.
  • Demonstrated skill in serving as a change agent.
  • Demonstrated skill in working in ambiguous environments.

Benefits

  • Professional development opportunities.
  • Challenging career paths.
  • Competitive compensation.
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