ThermoFisher Scientific

ThermoFisher Scientific

Scientific Solutions

Giro

Informatica

Actividad principal

Scientific Solutions

Número de empleados

125000

Sitio Web corporativo

Información

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of more than $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.

6 puestos de Trabajo

Data Steward

Preferred Experience Hands-on experience with data.world or similar modern data catalog platforms. Strong understanding of data governance frameworks (e.g., DAMA-DMBOK). Experience managing data lineage and quality across multi-layered architectures (ERP, data lakes, transformation layers, KPI/reporting). Experience supporting or building semantic layers for BI and/or AI use cases . Proficiency in SQL and Python for data analysis, profiling, and automation of data quality checks . Experience working with APIs or programmatic interfaces for metadata and catalog automation. Familiarity with modern data platforms (Databricks, Redshift, Athena). Experience with data visualization tools (e.g., Power BI). Knowledge of data privacy and regulatory standards (e.g., GDPR, CCPA). Qualifications Bachelor’s degree in computer science, Information Systems, Data Science, or related field. 3+ years of experience in data stewardship, data governance, or data quality roles . Demonstrated experience working with data catalogs, metadata management, and lineage . Strong problem-solving skills with the ability to work independently and manage moderately complex data challenges . Excellent communication and stakeholder management skills, with the ability to influence and drive adoption of governance practices . Comfortable working hands-on with data using SQL and Python to validate data, enforce quality rules, and support governance processes. What Success Looks Like Trusted, well-documented data assets across ERP → KPI pipeline High adoption and effective use of data.world Consistent and governed business definitions and semantic layer Measurable improvements in data quality KPIs Reliable, AI-ready datasets supporting analytics and decision-making

Mayo 11 2026 en Tijuana