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Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Programming Languages: Python, R, SQL, Java or Scala, SQL. Operationalize ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments.
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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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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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AWS, Redshift, Snowflake, dbt, Databricks, Python. The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning.
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Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
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Hands-on experience with programming languages such as R, Python, SQL, and Excel VBA for data analysis and extract-transform operations. Proficiency in developing data visualization and business intelligence solutions using tools like Shiny, Tableau, and PowerBI, as well as front-end technologies and languages.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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4+ years’ experience with data visualization tools (e.g. Tableau, PowerBi, R Shiny) 4+ years’ experience in R, SQL and Python. You will also contribute to internal Data Science projects hosted on, our internal accelerator for Data Science projects.
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This role focuses on developing, deploying, and managing scalable machine learning solutions within our tech stack that includes Snowflake, dbt, Python, Kubernetes, and Java. The ideal candidate will have a strong foundation in software engineering and data infrastructure, as well as a proven ability to implement efficient, scalable, and robust decisioning platforms.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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In this role as Lead Data Scientist, your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.
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We provide essential intelligence for Financial Services, Real Estate and Insurance industriesThe Impact: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make FIG data available to a data fabric for wider consumption and processing within the company.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Keep abreast of the rapidly-evolving technologies and trends in the TV and digital realms and build a thorough understanding of the media and advertising ecosystem and its key Qualifications BA/BS degree, preferably in a quantitative field of study, or relevant experience 3+ years of professional experience in media, digital advertising, technology or financial services Experience with programming languages including SQL, Python, Scala, Databricks, Spark and/or cleanroom environments.
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Experience in working with internal developers, data sourcing teams and external vendors to drive development of CCR analytics, system infrastructure and overall CCR framework Good working experience in analyzing stress testing results and enhancing stress testing framework Strong technical skills, specifically Excel/VBA, python, data visualization tools (e.g. Power BI) etc.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data EngineerSan Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Data Engineer.
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