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Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.) This includes new features and architectural improvements for our data pipeline and analytics tools, such as Looker, dbt, Databricks, Fivetran, Airbyte, and AWS Redshift.
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Expertise in construction management software and platforms, including Viewpoint Trimble One, Spectrum, Plangrid, HCSS platform, Toric data warehouse or equivalent, Power BI, Power Automate, Office 365 Suite, Sharepoint, Tableau, and dashboard tools.
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In Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required). Research experience in statistics and computational genomics, and familiarity with next-generation sequencing data and analysis tools (preferred.
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Minimum 7 years’ experience in data science, with experience in predictive modeling and unsupervised machine learning. Proactively identify and drive strategic initiatives that leverage data science to create competitive advantages for Terumo.
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Vantage is currently seeking high-quality Chemical Engineering, Chemistry, Biochemistry, Data Science Business Majors, and related majors with more than 1 year of experience in roles related to continuous Improvement (CI) Engineer, Production Engineer, Process Engineer, and Data Analyst.
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Technology polymath: Experience with a wide range of technology and can learn and develop any solutions across the full data science lifecycle and application stack. Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery, Lakehouse, Data Mesh, Medallion Architecture.
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As a technical leader of our data engineering team, reporting to our Director of Business Intelligence, you'll play a pivotal role in defining the foundation crucial for various types of analysis.
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Ability to work with various data warehouses is key (Snowflake, MSSQL, MySQL, BigQuery) Oversee the entire data integration process, ensuring the accurate and secure integration of data from various sources, such as CRM (Salesforce), ITSM (ConnectWise/ServiceNow), and other system applications.
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A Ph. D. or M.S. in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics, or related fields. Identifying , collecting, and exploring the right data used for predictive modeling and algorithm development, particularly related to offer ranking, product relevancy, and seller performance.
$264,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. + Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making.
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NET, SQL Server, AWS Data technologies (including Athena, Glue, PySpark, Scala, MySQL, PostgreSQL, and Airflow), and financial reconciliation. AWS data technologies including Athena, Glue, PySpark, Scala, MySQL, PostgreSQL, and Airflow.
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Education: High School Diploma or equivalent required, preferred currently enrolled in college courses in Digital Forensic Science, Computer Science/ Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years work experience in computer hardware, network administration, or cyber-crime investigations.
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Bachelor's or Master's degree in computer science, statistics, applied mathematics, data management, information systems, information science, or a related; quantitative field or equivalent work experience.
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Strong analytical skills with the ability to interpret and present data using industry-relevant software (e.g., Snowflake, Alteryx, Tableau, ArcGIS). Collaborate with business leaders to understand their goals and provide new data analytics solutions to expand markets and grow membership, sales, investments, and charitable giving.
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Use ELT processes to create and maintain scalable data transformations, delivering clean data ready for analytics and data science. Continuously update your knowledge of Analytics and Data Engineering trends, particularly in AWS, Redshift, Snowflake, Python, SQL, and dbt, to enhance our technology stack.
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data science jobs Title: school science teacher in Kearny, NJ
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