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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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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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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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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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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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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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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 23 days ago - UpvoteDownvoteShare Job
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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.
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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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Expertise in at least two fields in Natural Language processing (Natural Language understanding, deep learning, Natural Language Generation, Large Language Models, and generative AI) or at least two fields in Data Engineering (ETL data pipeline, big data processing, data warehouse, NoSQL database, distributed/parallel systems, and cloud computing.
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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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Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud DataProc, Cloud Dataflow, Apache Beam composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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Experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, Apache Druid) such as S3, EC2, and EMR (Spark). 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 the Data Platform and Analytics team.
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data science big jobs Company: Apple in ND, France
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