Senior Data Scientist

Location: Conshohocken, PA

Salary: $130,000.00 USD Annually - $160,000.00 USD Annually

Description:

Our client is seeking a Senior Data Scientist to help architect the development of their data lake and lead the efforts to develop standard data models and AI-ready pipelines. This individual will play a critical role in shaping the core technical infrastructure for their data services.

Responsibilities:

• Provide input on the overall architecture for the company's data commons.
• Develop and implement standard ontologies, taxonomies, and schemas for organizing diverse data types (e.g., experimental data, manufacturing processes, performance results, metadata) and ensure interoperability across datasets.
• Define contributor-facing data models and ingestion schemas that enable external partners and data providers to submit data consistently into the commons.
• Establish scalable frameworks for ingesting, cleaning, curating, and storing materials and manufacturing data.
• Build models to represent relationships across materials, processes, and performance outcomes.
• Create robust pipelines to prepare AI-ready datasets for customer use.
• Design data structures optimized for machine learning and analytics applications.
• Collaborate with ML engineers and domain experts to identify key data features and metadata critical for downstream AI use cases.
• Define data quality, provenance, and versioning standards.
• Ensure compliance with relevant data privacy and IP frameworks.
• Work cross-functionally with product and engineering domain experts.
• Identify and establish strategic relationships with relevant industry organizations, trade associations, and professional societies to provide company opportunities for leadership in data standardization activities with market relevance.
• Provide technical leadership on data science and architecture best practices and mentor engineers as the team grows.
  
  

Minimum Qualifications:

• Bachelor's degree in computer science, engineering, data science, materials informatics, applied mathematics, or relevant field.
• 7 years in data science, data architecture, or related roles.
• Proven hands-on experience designing and implementing large-scale data lakes and schemas.
• Strong background in data modeling, ontology design, and schema development.
• Proficiency in Python, SQL, and distributed data systems.
• Experience working with scientific data formats (HDF5, NetCDF, CSV/JSON metadata-rich structures, etc.).
• Experience with ML pipelines and preparing structured/unstructured data for AI.
• Familiarity with manufacturing processes and materials science.
• Excellent communication and organizational skills
• Project management experience
• Proven ability to work in a team with good interpersonal skills
  
  

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Contact:

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