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Our client is looking for a "Hands On" VP of Data Science to Lead their Data Science teams in Manhattan. 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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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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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.
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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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Intermediate skill with Python and the Python Data Science stack (numpy, pandas, matplotlib, etc). 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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Option 3: Master's degree in Computer Science and 4 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field. Option 1: Bachelor's degree in Computer Science or related field and 6 years' experience in data engineering, solution architecture, business intelligence, business analytics or 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. Set up best practice standards for data engineering in alignment with Bank's defined Enterprise and data architecture.
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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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Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Magnifi is seeking a Staff LLM Data Scientist with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models. Ph. D./Masters/Bachelor's degree in computer science, mathematics, statistics, engineering, or relevant field.
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The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. The MSL role embodies our medical mission to be recognized as the trusted partner for internal stakeholders and the healthcare community, driving scientific exchange to enhance medical education, data generation, insight generation and patients’ access to medicine.
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Additionally, this role will actively participate in developing an entire Data Operations framework, will lead our Master Data strategy and will establish our data management operating model which will ensure the highest level of data quality across the firm.
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Data Integration/ETL Lead with hands-on experience in designing and implementing data warehouses and data marts for large financial institutions. 3 year of experience in Banking industry specifically in Financial Crimes Data Governance for Sanction Screening, Anti Money Laundering and KYC.
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data science jobs Title: science lead Company: Springboard in Hoboken, NJ
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