Director of Data Science leading technical data science initiatives for advertising products at Mastercard. Overseeing ML strategy, model deployment, and team collaboration in the Commerce Media platform.
About the role
- Data Manager ensuring the integrity and reliability of environmental quality data for ERM. Overseeing data lifecycle and collaborating with teams to deliver high-quality datasets.
Responsibilities
- Oversee the entire environmental data lifecycle—from field and laboratory acquisition, through validation and QA/QC, to secure storage and reporting.
- Collaborate with cross-functional teams and interfacing with laboratories to deliver high-quality datasets.
- Manage data governance processes and ensure adherence to ERM’s compliance standards for environmental data.
- Integrate data from laboratory, field, and historical sources as EDDs into ERM’s EQuIS ™ databases and other data systems.
- Collaborate with internal teams and laboratories to plan and prepare for sampling rounds and ensure timely and accurate data delivery.
- Apply Quality Assurance protocols, including completeness checks, duplicates, logical errors, and metadata management.
Requirements
- Bachelor’s or Master’s degree in Environmental Sciences, Data Management, Information Systems, Computer Science, or a related field (environmental background strongly preferred).
- At least 3 years of experience in environmental data management and data quality roles, including hands-on experience with EarthSoft EQuIS modules: EDP, Data Manager/Enterprise, Collect, and EDGE.
- Strong knowledge in EQuIS schema, data tables and structure, as well as on data management best practices.
- Experience with QA/QC routines for environmental data (validation, qualifiers, non-detects, duplicates, holding times).
- Active and effective English communication skills, with the ability to translate technical findings into actionable insights for project teams.
- Ability to manage workload independently and adapt to changing deadlines.
- Comfortable working in a computer-based, desk-oriented environment.
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
Principal Data Scientist at Fidelity driving AI/ML innovations and solutions for financial growth. Collaborating cross - functionally to design and deploy advanced analytics and AI technology.
Senior Data Scientist at Enklare owning end - to - end ML models from data to production. Working across data engineering, data science and backend systems for financial impact.
Senior Data Scientist focused on supply chain analytics at Emerson. Collaborating with cross - functional teams to enhance master data quality and drive operational improvements.
Data Scientist responsible for end - to - end analytical solutions for iA Financial Group. Collaborating with business partners to enhance value using data innovation.
Junior Product Analyst role supporting the Product Manager in a tech company. Involved in organizing tasks, gathering information, and ensuring alignment for efficient project flow.
Data Scientist transforming business process data into actionable insights for clients. Collaborating on process improvement projects using cutting - edge process mining tools.
Data Science Analyst at Nomura developing analytics products and supporting digital transformation. Collaborating with various teams to leverage data insights for strategic decisions.
Senior Data Scientist & AI Engineer advancing RLD Foundation’s data strategy in a collaborative environment. Building data infrastructure and conducting analytics to support social impact initiatives.
SAP BRIM Data Scientist analyzing high - volume billing data for insights and optimization. Collaborating with teams to implement predictive models and ensure data security standards.