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Computer Engineer Data Science

Staten Island,NY

582 Computer Engineer Data Science jobs in Staten Island,NY

New, Posted 3 hours ago
2027 Spring Co-Op Quantitative Pharmacology, Morristown, NJ

Sanofi

Irvington, NJ 07111

$35-$55/hr
Flexible Schedule
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Vice President – Front Office Quantitative Analytics (Latin America Rates & FX)

Santander Holdings USA

New York, NY 10022

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Lead Electrical Designer

MG Engineering D.P.C.

New York, NY 10001

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Sales Analyst

Maisons Marques & Domaines

New York, NY 10025

~ 40 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 2-5 years of experience with progressing responsibilities
  • Bachelor's Degree in business, science, engineering or computer sciences
  • Excellent proficiency with Excel and PowerPoint
  • Should be able to lift up to 30lbs
  • The position is based in New York and reports to the office Monday-Friday
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New, Posted 3 hours ago
2027 Spring Co-Op Quantitative Pharmacology, Morristown, NJ

Sanofi

East Orange, NJ 07018

$35-$55/hr
Flexible Schedule
New, Posted 3 hours ago
CAD Production Drafter

FABUWOOD CABINETRY

Newark, NJ 07103

Bilingual Preferred
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Clinical Laboratory Scientist

United States Army

Elizabeth, NJ 07202

New, Posted just now
Recommended
Advanced Electronics / Computer Field Technician

US Navy

New York, NY 10025

Recommended
iHire
Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One

New York, NY 10001

Remote
New, Posted 10 hours ago
Recommended
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Director, Analytics and Data Science (Hybrid)

Institute of International Education

New York, NY 10007

Hybrid~ 40 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Requires a bachelor's degree and at least eight (8) years of related work experience, or an equivalent combination of education and experience.
  • Minimum 5 years working in data and technology, 3 years in Enterprise Data Strategy, and 3 years leading Enterprise Data Management and Data Governance practices.
  • Expert level knowledge of Data Visualization with PowerBI (or similar tools).
  • Experience working with ETL (Extract, Transform and Load), Data Transformations, Data Warehouse and Building Data Pipelines.
  • Strong project management and presentation skills, including a track record of overseeing a portfolio of multiple projects and comfort with both large and small audiences.
  • Knowledge of common tools and methods for data science, machine learning, and business intelligence
  • Capability to generate Data Visualization and Data Insights with existing data from Programs.
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