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Data Science Analytics Lead

Los Angeles,CA

1660 Data Science Analytics Lead jobs in Los Angeles,CA

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U.S. Army Reserve Logo

U.S. Army Reserve - Los Angeles, CA

25B Information Technology Specialist - Find Success in US Army

Paid Relocation to Los Angeles, CA

OnsiteEducation AssistanceHealth InsurancePaid Time Off
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Lead Data Scientist

Disney Entertainment

Glendale, CA 91222

$158,100-$211,900/yr
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Lead Data Scientist, Core, Level 6

Snap

Los Angeles, CA 90006

$229,000-$343,000/yr
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Lead Data Scientist - Ad Platforms

Disney Entertainment

Glendale, CA 91222

$158,100-$211,900/yr
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Data Engineer Self Service Analytics and Real Time Data Platforms

Paramount

Burbank, CA 91506

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Deal Data Technology & Analytics, Senior Associate

PwC

Los Angeles, CA 90006

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Data Engineer II - Insights, Strategy & Analytics

Sony Pictures Entertainment

Culver City, CA 90231

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Research Scientist, Research

Snap

Santa Monica, CA 90407

$173,000-$259,000/yr
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Master Data Manager

OSTechnical

Anaheim, CA 92808

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Data and Compliance Manager

Meals On Wheels OC

Anaheim, CA 92808

$75,000-$90,000/yr

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Sr. Planner

AiTech

Los Angeles, CA 90011

$90,000-$120,000/yr
OnsiteUrgently Hiring

The expected annual salary range for this role is $90,000 - $120,000 a year.
Bachelor's degree in Supply Chain, Operations, Business, Engineering, or equivalent experience.
Minimum 5 years of material planning, production planning, or supply chain planning experience.
Experience in aerospace, defense, electronics manufacturing, or other highly regulated manufacturing environments.
This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). All applicants must be U.S. persons within the meaning of ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee
Strong ERP/MRP experience.
Working knowledge of BOM structures, production planning, inventory management, and supply chain operations.
Experience supporting demand planning or production scheduling activities.
Advanced Microsoft Excel skills and experience performing data analysis and reporting.
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