Data Architecture Design: Collaborating with NLB solution architects, Data Management Platform awarded vendor and other stakeholders to understand data requirements and designing scalable and efficient data architectures.
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Create machine learning data pipelines for curation, deduplication, formatting, evaluation sets, and regression tracking.
Build and operate training and fine tuning pipelines for models used in scientific and workflow driven products.
Develop intelligent workflow interfaces that connect user intent, structured platform capabilities and executable workflows without exposing unnecessary complexity to users.
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Assist in deploying and maintaining cloud-based data services and analytics applications.
Collaborate with Product, Engineering, and Business teams to deliver analytics projects on schedule and coordinate project milestones across stakeholders.
Document analytical methodologies, technical solutions, and project outcomes to promote knowledge sharing and continuous improvement.
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Assist in deploying and maintaining cloud-based data services and analytics applications.
Collaborate with Product, Engineering, and Business teams to deliver analytics projects on schedule and coordinate project milestones across stakeholders.
Document analytical methodologies, technical solutions, and project outcomes to promote knowledge sharing and continuous improvement.
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Maintaining Installed Base Data (iBase): Auditing and cleaning legacy customer records and installed base data to ensure accurate tracking of products and service contracts.
Managing CRM Data Quality: Monitoring and auditing internal sales databases (SieSales) to identify discrepancies and ensure high-level data accuracy.
Improving Business Processes: Streamlining operational workflows and facilitating the transition to global sales tools (SieQuote) and SAP data capture systems.
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