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OR Two (2) full academic years of progressively higher-level graduate education leading to a graduate degree in a related field of study such as: business administration (finance, accounting, auditing, marketing and business law) law, economics, criminology, political science, government, social science, communications, psychology, public administration or another related field.
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Passion for big data, analytics (MMM, MTA, Experimentation), data science, and machine learning: comprehension of marketing analytics, specifically Marketing Mix Modeling, Multi-Touch Attribution (MTA), media strategy, media planning, identity resolution, data management, onboarding, remarketing, and data science is an advantage.
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We are a cybersecurity company, a Cyber and Tech E&O-focused MGA, a fintech startup, and a data science powerhouse, all purposefully built into one. As a Senior Product Manager for our Core Business, you will be responsible for leading a cross functional team across UX, Engineering, QA, Product Marketing, Data Science, Customer Success, Security Risk Services, and Sales/ Underwriting to develop risk and security solutions to enable our core customers to actively manage their cyber risk posture.
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Two (2) full academic years of progressively higher-level graduate education leading to a graduate degree in a related field of study such as: business administration (finance, accounting, auditing, marketing and business law) law, economics, criminology, political science, government, social science, communications, psychology, public administration or another related field.
$140,713 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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The Assistant Dean will also hold a tenured faculty position in the School of Data Science. Provide leadership and oversight for undergraduate and graduate academic programs within the School of Data Science, ensuring alignment with industry trends and academic standards.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
$8,554 a monthPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Experience working with modern data engineering tech stack and platforms (Databricks, Snowflake, AWS Services, DBT.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Ph. D. in agronomy, crop science, soil science, crop physiology, agricultural engineering, or environmental science. Experience in machine learning and big data is preferred.
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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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The successful candidate will have the opportunity to work in a federal client environment and grow their career in the Cloud and Data Science spaces by honing their cloud and data science knowledge and skillsets.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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data science jobs Company: Health Ecareers in VA, Indiana
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