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Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Experience with big data platforms (AWS, GCP, Azure, Databricks) and distributed computing frameworks. Champion a culture of innovation and creativity within the data science team and the company.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Work as a Teaching Assistant (TA) for the Forensic Science Initiative (FSI) - a 15-week offering organized by the Center for Pre-College Programs and the Forensic Science Program within the Department of Chemistry & Environmental Science at NJIT. The FSI program uses Forensic Science to strengthen underserved public high school students' STEM knowledge, skills, and preparation for college work.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Title: Senior Data Engineer - Big Data. Be in tune with emerging trends Big data and cloud technologies and participate in evaluation of new technologies. Experience in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Spark.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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Role:Design, develop, and maintain high-performance, scalable, and secure Java applications Implement distributed processing solutions using multi-threading and multi-processing orchestration Develop cloud-based applications on Azure, with experience in OpenShift being desirable Write efficient SQL queries, stored procedures, and create views for relational databases Analyze data and perform data transformations using tools like SSIS Script automation tasks using Python.
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Help build out the data science team while mentoring junior data science team members. This role reports up to the Director of Data Science, within the Data Science & Marketing Analytics team.
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Position Summary: The Senior Manager of Data Analytics predominately uses a tech stack of Power BI, SQL, Visual Studio Code, Snowflake, and Excel to answer questions to data that is ETL’d from our ERP, CRM, and various internal and external data sources.
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As the Principal Data Scientist, Marketing Data Science , you will lead the development of world-class analytics within the Walmart US Marketing team. Experience leveraging cloud based big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Stores and processes large data sets using big data and Cloud technologies Hadoop, Snowflake, and Amazon Web Services (AWS). Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and six (6) years of experience as a Director, Data Analytics and Insights (or a closely related occupation) applying data analytics of unstructured and semi-structured data to inform strategic business decision making.
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Experience developing intraday equity trading signals, from multi sources of data, including but not limited to raw streaming market data. Conduct research across a variety of quantitative trading strategies involving high frequency market data.
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data science big jobs Title: scientist Company: Tech Kinect in New York, NY
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