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In this client-facing role, you will support business leaders in the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
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10+ years of professional experience in data infrastructure (including data warehousing, ETL processes, and scalable data architectures), data engineering, and/or data science roles, with a focus on HR data.
$164,010 - $304,590 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Protection experience with Veeam, Rubrik or Cohesity. Highly skilled teams of engineers and solutions architects with deep expertise across cloud, security, networking and modern data center infrastructure help customers acquire, deploy and operate technology that delivers impactful business outcomes.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Consult our clients on data readiness topics related to EHS and ESG functions, leading to building of data strategies, data readiness roadmaps, and data governance programs.
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Previous work, academic, or personal experience with a coding language (SQL, Python, R), data visualization tools (Hex, Looker, Shiny), or GIS/mapping software is a bonus. Reports to: Deputy Data Director.
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Knowledge of Snowflake, AWS, Kafka, Airflow, Data Dog or similar big data technologies. Leading Data Operations Team: Oversee the data operations team responsible for resolving incidents and issues in data ingestion feeds, master data management, reference data management, Cloud Data Warehouse and data products.
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Job Description: Senior Data Engineering Maestro Wanted! Are you ready to turn up the heat in the world of data engineering? We\'re seeking an experienced Senior Data Engineer to Andrew Elvers dynamic team.
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Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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Collaborate with data engineers to onboard new data sources, design and implement dbt SQL models for data cleaning and integration, and write robust data quality tests to ensure data integrity.
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Job Responsibilities: Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Demonstrated knowledge of statistical techniquesStrong working knowledge of multiple analytic development tools, statistical tools, and programming languagesDemonstrated experience innovating and extracting insights from multiple data types including unstructured data.
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We are seeking a highly skilled and motivated Natural Language Processing (NLP) Data Scientist with a focus on fine-tuning Large Language Models (LLMs) to join our innovative team. Masters degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field.
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Enable our clients on their journey to building data-driven, data-first cultures in EHS and ESG programs and align stakeholders. EHS and ESG data management software packages. Knowledge of data management frameworks like DAMA DMBOK, EDM DCAM, and/or CDMC.
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Demonstrable professional experience with applying Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios. Produce innovative solutions for client's clients driven by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, machine-learning and AI techniques.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Title: data Company: Mckinsey in Cudahy, WI
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