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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Strategic Thinking: Ability to craft and execute a data strategy that integrates data analytics, data science, and machine learning to support business objectives and foster innovation.
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Role name: Analyst Role Description: Job Duties:§ Perform hands-on validations and reviews, write quality reports, data strategy, including data governance and data quality to empower the Financial Risk Management (FRM) area.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Responsible for developing and implementing microservices using Java and Spring Boot and writing efficient, and maintainable code to implement business logic, data processing, and integration with other microservices or components.
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Experience understanding, using, and employing syndicated data, customer card/POS data, and panel data to guide internal and external wins through sales and share growth (experience with data sources such as Nielsen, IRI, NPD, Numerator, 84.51, dunnhumby, SPINS, Stratum, Spectra/demographics, SPSOneScreen, Symphony Retail AI/EYC) Working knowledge of retail merchandising and in store execution tactics.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing. Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning.
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We are looking for an HR Data Analyst on the People Analytics team at iHeartMedia! from on demand to broadcast radio, digital streaming radio and podcasting, which bring data, targeting and attribution to all forms of audio at an unparalleled scale.
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Experience with modern data warehouse and data lake solutions such as Databricks or Snowflake is highly preferred. Proven experience with large-scale data warehouse/data lake solutions such as Databricks, Snowflake, or similar platforms.
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You will contribute to the organizations success by partnering with business, data science and data visualization team and transforming ingested data to meet the reporting requirements.
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Bachelor's degree in a relevant field that focuses on Management Information Systems, Data Science, Computer Science, Information Technology, Information Systems, or related field.
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Bachelor's or Master's degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and/or Data Science.
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data science jobs Company: Agoda in Dallas, KS, Australia
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