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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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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Competencies: Data Analytics & Insights : ignio AIOps Country: United States Branch | City | Dallas, TX. 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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The Director of Data Science will lead a team of highly talented and innovative data scientist in support of developing cutting edge data and analytics products to support decision sciences across all retail functions and brands.
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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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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 are looking for an HR Data Analyst on the People Analytics team at iHeartMedia! + Maintain data governance framework and ensure accuracy and quality assurance in all analytics projects.
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Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning. We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing.
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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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MS SQL Server certifications (e.g., MCSE: Data Management and Analytics). Experience with modern data warehouse and data lake solutions such as Databricks or Snowflake is highly preferred.
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Strong knowledge of sensory and consumer research, food science, and consumer insights. Data analysis, experimental design, statistics, and statistical software (JMP, XLSTAT, etc) Ph. D. degree in food science, dairy science or a related discipline is preferred.
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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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data science jobs Title: analytics Company: Razorfish Inc in Dallas, TX
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