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At least 5-7 years of experience with managing and transforming big data in excess of 1 billion rows, data analytics and insights within the music industry, preferably using AI / ML modeling data analysis tools and techniques to drive significant change in an organization.
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We are seeking a talented AWS DevOps/MLOps Lead to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
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The Director of Data Science will deal with all aspects of a project from knowing what's important to the business, to data collection and analysis, and finally to data visualization and presentations to lines of business and the executive team.
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Experience with data science, statistical analysis, data mining, and predictive algorithms to support advanced/predictive analytics. Experience in handling Big Data, IOT Data, and specifically a variety of Big Data file Formats Avro, Parquet, etc.
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Experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, Apache Druid) such as S3, EC2, and EMR (Spark) etc. Data science engineer. Data Warehousing Experience with Oracle, Redshift, Teradata, Snowflake etc.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Exposure to Data Lake, Lake House concepts, and technologies like Snowflake, AWS RedShift, or Databricks. Experience in Data Engineering tools such as Talend, SAP BODS, Python, PySpark, AWS S3, Glue, Athena, EMR, Kafka or similar tools.
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Qualifications: Education & Experience: Master’s degree in Data Science or related field (or equivalent) with 7+ years of experience in data science, AI, and digital transformation.
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Experience with Big Data frameworks (e.g. Hadoop MapReduce, Spark, Hive, Kafka) Act as Data Science Subject Matter Expert (SME) in the delivery and development of machine learning and AI products.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Working as a leader within TRKKN globally, you will contribute directly to company growth goals by faithfully managing and executing robust and complex data science and engineering projects.
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Experience working on a data science team, participating in scrums, sprints, and retrospectives. 3+ years of experience, preferably in Data Science. As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
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Cloud & Big Data Integration: Lead the migration and integration of data systems to cloud environments (AWS, Azure, GCP) and implement big data solutions as needed for advanced analytics and reporting.
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Job Title: Data Science Engineer. Specialized Area: Data Science. We are looking for an intellectually curious, business/tech-savvy, analytical powerhouse to join The Walt Disney Company's DTCI group as a Data Analyst in Data Platform and Analytics team.
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As an individual contributor, lead the design and implementation of advanced statistical and data science models across ezCater's growing business. Be the thought leader for elucidating and demonstrating the business opportunities that can be solved with applying advanced Data Science models to ezCater's business.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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data science big jobs Company: Adobe in NJ, France
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