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Note: An Associate's Degree from an accredited college or university in Forestry Park Management, Agronomy, Landscape Architecture, Horticulture, Botany, Plant Science, Floriculture. Note: A Bachelor's Degree from an accredited college or university in Forestry Park Management, Agronomy, Landscape Architecture, Horticulture, Botany, Plant Science, Floriculture.
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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Education: Ph. D. or Master’s degree in AI, Machine Learning, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on artificial intelligence.
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MS degree and 5 years of industry experience or PhD degree in physical sciences (e.g., Chemistry, Physics, Biology, or Chemical Engineering), quantitative field (e.g., Computer Science, Statistics, Applied Mathematics), or equivalent industry research experience.
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4+ years of experience in data science, AI, or machine learning, with at least 1 year in the insurance/Insurtech sector (Insurtech experience preferred). This is an excellent opportunity to join a rapidly growing Insurtech company that is making big strides in data science and AI. If you’re ready to take your career to the next level, apply today.
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Good understanding of financial crimes and how technology is commonly utilized to support KYC, transaction monitoring, and sanctions screening processes, inclusive of data integration, architecture, APIs, UI/UX, workflow management, reporting, and integration strategies.
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Advanced Data Warehouse & NoSQL Integration :Lead the design and optimization of large-scale data warehouse and data lake solutions, including platforms like Databricks and Snowflake.
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At least 4 years of demonstrated analytical experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization.
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6+ Years of Data Engineering (DB2, Snowflake, Oracle, MongoDB, Redshift, PostgreSQL). Expertise with relational databases, Splunk, Snowflake, YugabyteDB, Aerospike, S3 and similar data management platforms.
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As a Lead Engineer, you will leverage your expertise in Informatica MDM, data modeling, and data governance to optimize performance and ensure the seamless operation of the MDM system. The Royal Caribbean Group’s Data Analytics and AI Team has an exciting career opportunity for a full time Lead Engineer, Informatica MDM reporting to the Director of Enterprise MDM & Quality.
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Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field is preferred. 10+ years in progressive roles in Data Engineering including relevant experience working with Google Cloud Platform or on-premises Hadoop solutions: designing, implementing, and supporting data architectures, data models, ETL/ELT pipelines, and streaming pipelines for structured, semi-structured, and unstructured data.
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MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization, and mobile technology.
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Extensive experience developing AI/ML solutions across diverse biomedical data types including medical imaging, microscopy, histology, omics, sequencing and genomics, unstructured clinical notes, protein structures, and/or others.
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Looking for Data Engineer lead having experience on building ingestion solutions to integrate 3rd party data using databricks. AWS Databricks Data Engineer Lead. Experience with building data pipelines using Databricks on AWS.
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Data entry, data review, and GPS use. BS/BA degree in natural science field of study required. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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data science jobs Company: Allied Universal in New Orleans, LA
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