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Participate in knowledge discovery in pediatric biomedical research, using analytic and data visualization techniques spanning heterogeneous and complex data types under direct supervision.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Familiarity with data visualization best practices and UI/UX design principles. As a Power BI Developer, you will be responsible for designing, developing, and maintaining business intelligence solutions using Microsoft Power BI. Asuccessful candidate will work closely with stakeholders to understand business requirements, create interactive and insightful reports and dashboards, and contribute to data-driven decision-making within the organization.
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Knowledge of data privacy regulations (GDPR, CCPA, CRPA) and the impact these regulations have on data engineering framework. The Sr. Principal Global Data Engineering plays a critical role in the global data organization by leading and shaping our engineering efforts.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment. 7+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience.
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Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance. Building streaming data pipelines using Kafka, Spark, or Flink.
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We are looking for a Data Engineer to organize and scale our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts.
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You will be expected to lead recommendation and personalization algorithm research, development, implementation, and optimization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams.
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Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis.
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AWS, Docker, Airflow, Databricks. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
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1+ years of experience with BI/Visualization tools (Google Data/Looker Studio, Tableau, etc) 3+ years of experience working with data warehouses (BigQuery preferred, Redshift, Snowflake, etc.
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Experience with data visualization tools (e.g., Tableau, Power BI, etc.) Identify and implement advanced analytics tools and technologies to support data visualization, reporting, and monitoring of supply chain KPIs.
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data mining engineering visualization jobs Title: data analyst Company: Keylent Inc
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