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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a skilled ERP Systems Integration & Data Engineering Lead to spearhead the strategic planning and execution of integrations across our core ERP systems, such as SAP SaaS, Coupa, Workday, and other relevant systems.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) 14-16 Years of Data and Analytics experience with minimum 5+ years in one ore more of cloud platforms like Azure, AWS or Google Cloud Platform and Snowflake Cloud native data services.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.
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SSLA seeks a Data Scientist to contribute to SSLA’s research and experimentation on applications of artificial intelligence, natural language processing and machine learning by performing analysis and data extraction from legal texts, developing and refining frequency and severity models for litigation, and developing pipelines to integrate AI & machine learning into the larger project workflow.
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Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Join a highly skilled data science team to solve challenging problems and deliver scalable solutions in game development, publishing, and live-ops. Experience in one or more of the following areas: machine learning, statistics, deep learning, reinforcement learning, experimentation, NLP, computer vision, recommendation system, and other data science domains.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, implement, and support large-scale data processing pipelines using Kubernetes, Spark, Kafka, ElasticSearch, and more. Build mission-critical data processing pipelines underpinning our core suite of customer-facing social-media analytics products using Spark/PySpark, ElasticSearch and other petabyte-scale compute technologies.
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Data Analyst will understand the database structure and schema of our case management software, design and run reports in the system or with additional tools such as SQL and EAP Expert, analyze key data, run reports and make meaningful recommendations to the Concern management team.
$36.13 - $54.2 an hourFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. Moloco Commerce Media (MCM) enables marketplaces to leverage the recent advances in AI for delivering tailored ads to relevant users, driven by first-party data.
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Uphold data security by implementing DLP rules, monitoring of sensitive data access, and developing data cataloging tools for search and discovery, data lineage, and data quality improvements.
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Hands-on Experience in Big Data tools, using Hadoop, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. 7+ years of experience in data engineering, business intelligence and data science.
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Fluency in core set of Data Science. Embedded within the product team, data scientists are responsible for setting product goals in the right direction; driving growth on business partners; designing experiments and frameworks to identify opportunities and risks.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc. · Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.
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Title: data Company: Luminarehealth in Palo Alto, CA
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