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Doctorate Remote Data Architecture Jobs

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  • Business Intelligence Analyst

    Key Responsibilities Design, develop, and maintain scalable dashboards and reports using Tableau Collaborate with Data Engineering and Data Architecture teams to optimize data marts and pipelines Apply AI tools to improve reporting and analytics processes

    Tableau Snowflake SQL Apache Airflow
  • Director of Clinical Ontology

    Key Responsibilities Lead the design, development, and governance of clinical ontology across various data domains Collaborate with cross-functional teams to ensure ontology supports scalable data architecture and analytics Define and manage controlled

    Clinical Ontology Physiological Data Behavioral Data Contextual Data
  • Data Engineering Manager

    lead, mentor, and motivate data engineers while fostering their professional growth Collaborate with various stakeholders to shape the data roadmap and align it with company goals Design and develop scalable data pipelines and ensure high-quality data...architecture Required Qualifications 6+ years of software or data engineering experience, including 1.5+ years in an engineering management role Bachelor's degree in Computer Science or a related technical field; MS or PhD is a plus Proven experience

    Data Engineering Data Infrastructure Data Orchestration Data Transformation
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  • Director of Data Science

    field Proven leadership experience managing data science or machine learning teams Expertise in statistical modeling and machine learning techniques Hands-on proficiency in Python and SQL, with familiarity in R as a plus Strong understanding of data...architecture and MLOps practices in cloud environments

    Machine Learning Statistical Modeling Predictive Modeling NLP
  • Director of Data

    degree (Master's or PhD) in a quantitative field or equivalent professional experience Proven experience managing data teams of 10+ members in a SaaS environment Hands-on experience with data governance in a scaling SaaS company Solid understanding of architectural...data concepts, including API design and data pipelines Experience leading teams in predictive modeling and analytics capabilities

    SaaS Data Governance Data Architecture API Design
  • Machine Learning Engineer

    Key Responsibilities: Design and execute advanced ML models and frameworks to provide user value Utilize machine learning techniques to analyze HR and Finance-related text data and develop cloud-based architectures Manage performance, scalability,

    Machine Learning Information Retrieval Recommendation Systems Agentic AI
  • Data Operations Architect

    Key Responsibilities Architect and design data pipelines for efficient data ingestion, transformation, and loading Establish architecture for enforcing data policies, standards, and procedures to ensure data integrity and compliance Monitor data systems...Architecture and Engineering disciplines Experience designing data pipelines for Operational data flows Strong understanding of database technologies, data warehousing, ETL processes, and data pipeline tools U.S.

    Data Architecture Data Engineering Data Pipelines Data Ingestion
  • Senior Manager, Omnichannel Operations

    or High School Diploma/GED and 12 years of relevant experience 5+ years of experience in digital marketing operations or omnichannel campaign enablement Deep expertise in Salesforce Marketing Cloud (SFMC) and its components Strong understanding of data...architecture and privacy compliance frameworks Proven experience leading cross-functional teams in a regulated industry

    Journey Builder Audience Builder Automation Studio Contact Builder
  • Clinical Data Engineer

    ., AWS) and data warehousing architecture Understanding of data governance principles and compliance regulations specific to genomics data

    Data Warehousing Data Integration ETL Processes AWS
  • Applied AI Researcher

    Key Responsibilities Serve as a subject matter expert in data pipelines, model architecture, and multimodal techniques Pioneer technologies through all stages from brainstorming to deployment Collaborate with cross-functional teams to maintain product

    Data Pipelines Pre-training Post-training Reinforcement Learning