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Our team develops 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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Job Duties and ResponsibilitiesThe Data Analytics Lead is responsible for managing the DISH Wireless Commercial Data Analytics team, coordinate and execute projects related to getting data, integrations and designing the fully-automated analytics modules catering to DISH business team needs and the analytics product offerings in the marketplace for Commercial customers.
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The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Data Security Procurement group, you will be responsible for establishing and executing sourcing strategies and plans for our Cyber Defense & Engineering + Information Technology department.
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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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Familiar with metadata management, data lineage, and principles of data governance. ~5+ years of relevant experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience.
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You will be expected to lead recommendation and personalization algorithm research, development, and optimization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams.
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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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This role will be working closely with Data Engineers from different data product teams and will operate the daily build lifecycle, resolve issues in the DBT (Data Build Tool) project mesh and communicate defects and prospective resolutions to the data engineering teams.
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Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment. ~ Building streaming data pipelines using Kafka, Spark, or Flink.
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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. You will be expected to help meet KPIs for product areas and to set and meet deadlines for external and internally facing tools, such as offline evaluation tools for pre-production algorithms.
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Develop and maintain data pipelines and work closely with data engineering team to migrate the production databases to Cloud via Snowflake. As part of the Data Solutions Support team, this Senior Analyst will leverage Snowflake, AWS, and PowerBI to build best-in-class analytical data pipelines, and management for Ally's Auto Asset Management team.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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Capital One is seeking a product owner tohelp deliver game-changing cybersecurity solutions based on threat, data, and design thinking. Act as a technical advisor to the product manager, engineering, and other stakeholders.
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At least 1 years of experience in product management. Principal Associate, Cyber Product Owner (Cyber Intelligence) As a Product Owner supporting the Cyber Intelligence Service, you will be accountable for contributing to and delivering upon the strategic agenda for our core cyber products to drive meaningful progress for our customers and our business.
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Communicate the Intelligence delivery roadmap to our stakeholders and leverage the product vision to inspire the teams. Leverage Intelligence experience and technical knowledge of how systems work to effectively support engineering teams in delivering value.
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data engineering product management jobs Title: intelligence Company: Tiktok in Sanford, Maine
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