Reference #: 1572 ASTM International is a globally recognized leader in the development and delivery of international voluntary consensus standards. Today, some 12,000 ASTM standards are used around the world to improve product quality, enhance safety, facilitate market access and trade, and build consumer confidence. ASTM provides an excellent compensation and benefits package including: Undergraduate and Graduate Tuition Reimbursement Comprehensive medical, dental, vision, life and disability insurance Paid holidays, vacation and sick leave 403(b) plan with company match 100% company-funded defined benefits pension plan

Summary of Position

ASTM is advancing solutions for the rapidly evolving landscape of advanced manufacturing, with a focus on Industry 4.0 and digital transformation. We collaborate with industry, government, and academia to accelerate standards development, workforce training, and certification programs that address emerging challenges and expanding responsibilities in these fields.

Building on successful initiatives in areas such as additive manufacturing and Exo Technologies-where ASTM established centers of excellence to speed technology adoption-we are now developing a Data Commons for materials and manufacturing data. This platform will build on the best practices and guidelines for the generation and management of high-pedigree data that have been developed under our Consortium for Materials Data and Standardization (CMDS) program. The Data Commons will curate, structure, and organize high-quality, standardized, AI-ready datasets to drive innovation, enhance product development, and support next-generation manufacturing intelligence. We are seeking a Senior Data Scientist to help architect the development of our 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 our data services.

Responsibilities

Provide input on the overall architecture for the ASTM 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 ASTM 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, inspection methods 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 and ability to work remotely

Preferred Qualifications

Advanced degree in Computer Science, Engineering, Data Science, Materials Informatics,

Applied Mathematics, or related field.

12+ years in data science, data architecture, or related roles.

5+ years domain experience in materials and manufacturing applications.

Demonstrate experience of leading & managing technical projects

Experience in standards development and participation in technical committees

Travel Requirements: 25%

ASTM International

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