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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Preferred fields of study: Business Analytics, Data Analytics/Science, Finance, Economics, Accounting, Computer and Information Science, Business Administration/Management, Engineering, Management Information Systems, Mathematics, Statistics.
$84,000 - $138,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
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Keywords: product management, product manager, analytics, AI, machine learning, data science, visualization, computer vision. 2+ years’ experience in Data Analytics, Data Science and Data Visualization.
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Intermediate skill with Python and the Python Data Science stack (numpy, pandas, matplotlib, etc). Experience with Data Visualization software, especially Tableau. Proficiency in descriptive and inferential statistics including distributions, predictive modeling, data validation, statistical testing, regression.
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Currently pursuing or recently graduated with a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering (Electrical, Mechanical, Renewable Energy focus), or a related field.
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Bachelor's/Master's in Criminal Justice, Forensic Science, or related field. As a Digital Forensics Associate Examiner, you'll conduct data collections, perform forensic analysis, and mentor Forensic Analysts.
$115,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certifications in AWS DevOps, AWS RDS/DMS, data engineering, data science, automation, or database technologies a plus. Minimum of Five years of experience in a Data Engineer role.
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Data architecture/software architecture/data modeling, Master's degree in Computer Science or related field and 6 years' experience in software engineering, Relevant industry experience (for example, retail, supply chain, eCommerce, healthcare, etc.
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Bachelor-level degree in engineering, IT, data communications, Information Systems, computer science, or equivalent educational or professional experience and/or qualificationsExperience with Public Cloud (AWS, Azure, GCP) and On-Premises EnvironmentsExperience with Modern Data PlatformsHands-on experience in Automation, Orchestration and CI/CD pipelines (SCM, Build, Deployment, Code Quality, APM, Monitoring and Reporting tools.
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Ability to understand general computer commands and learn supporting software for entering field data, laboratory data, timesheets, etc. Bachelors Degree in Civil Engineering, Soil Science, Geology or related engineering field; geotechnical engineering concentration preferred.
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We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes. Magnifi is seeking a Staff LLM Data Scientist with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models.
$190,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Start up experience as a technical co/founder, growth, or data roles. Experience with SQL and data warehousing/pipelining tools such as dbt and Airflow. Experience working closely with external B2B data vendors.
$191,250 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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B.S. degree or higher in Data Science, Computer Science, or equivalent quantitative field. Experience working with cloud-based data technologies such as Snowflake or similar.
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If so, our client is hiring a Data Engineer! Developer experience in big data or warehouse (Hadoop, DB2 LUW) environment. Securing data using IAM and Active Directory. 3-5 years' experience developing and deploying data pipeline in cloud.
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data science jobs Title: full stack software engineer in New York
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