Location: Washington, DC
Salary: $140,000.00 USD Annually - $160,000.00 USD Annually
Description: Our client is currently seeking a Senior Data Scientist for a manufacturing client in
West Conshohocken, DC area.Responsibilities: Provide input on the overall architecture for the company 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: - 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
- Self-starter with exceptional attention to detail
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