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Metas Solutions has an opening for an experienced Senior Data Scientist/Machine Learning Engineer to work Remotely. Experience in Spark - Databricks or EMR. Metas Solutions has an opening for an experienced Senior Data Scientist/Machine Learning Engineer to work Remotely.
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Proficiency in Python, Hadoop, Hive, Spark for big data analysis and modeling. Managing model risks in line with Visa Model Risk Management requirements. Experience with modern Deep Neural Network framework (e.g. RNN, LSTM, Transformer) and tools (e.g., PyTorch, TensorFlow.
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Understanding of ETL, data warehousing, and advanced data modeling tools (e.g., R, Python, SAS, Spark, AWS) This Data Scientist will work in a well-structured, team environment acting as the predictive and prescriptive model development SME for the Analytics team.
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Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark; Extracting and aggregating data from large data sets using SQL/Hive or Spark; Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc.) As a Data Scientist, you will be partnering with the Product, Sales, Customer Success, Infrastructure, and Engineering teams embedded in the Cloud businesses, as well as functional leaders who provide data and analytical infrastructure, identify and execute initiatives that benefit the whole Di and multiple Cloud businesses.
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Expertise at querying, cleaning, and transforming data for analytics or visualization using SQL, Spark, R/Python, etc. The Data Scientist position is part of the Television Analytics team that provides internal services for building and maintaining the data science methodologies comprising Comscores projection system for national television, local television, and cross platform measurement services.
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Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services’ data products and services. Sr Data Visual Research Scientist. 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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Strong working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark. Data Analytics Engineer (Data Scientist/Architect) Strong working knowledge of creating and editing Adobe Analytics dashboards, Camunda, and Microsoft Office (Word, Excel, and PowerPoint.
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Lead and execute activities to support Google Cloud Native big data & analytical tools like Python, R, Spark, Big Query, Spotfire, and Tableau. SAS, R, Python, Scala, SPARK, SQL, Hadoop, HIVE, Impala.
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We are looking for a Senior Staff Scientist to focus on the applications of image and video processing in multi-modal content analysis and personalized discovery. ○ Distributed processing, warehousing, and orchestration frameworks (e.g., Spark, Hive, Airflow.
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Demonstrated familiarity with big data environments such as AWS, Azure, or GCP (GCP is preferred) and applying frameworks such as Hadoop, Spark, etc. As a Lead Data Scientist on the Data and Analytics Team, you will be responsible for helping our organization develop a top-tier data science capability.
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Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Sr Data Scientist@ Atlanta, GA. Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop.
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The role sits within the Group Claims function and reports to the Group Claims Data and Insights Manager, the data scientist will be part of a global agile scrum delivery team and will be expected to work with the team to meet the sprint goals, which drive towards the data platform product vision.
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