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Actuarial science Jobs in Renton, WA
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Actuarial science • renton wa
Data Science Manager
METABellevue, WA, United States- Promoted
Healthcare Financial / Actuarial Director
Willis Towers Watson PlcSeattle, WA, US- Promoted
Actuarial Analyst Seattle Health
MillimanSeattle, Oregon, USAEarly Careers : Actuarial Intern
AonSeattle, WA, United StatesSVP, Actuarial Advisor
US035 Guy Carpenter and Company LlcFifth Avenue,SeattleHealthcare Financial / Actuarial Director
WTWSeattle, WA, United StatesDirector, Data Science
Liberty Mutual InsuranceSeattle, WA, United States- Promoted
Food Science Intern
NutpodsBellevue, WA, United States- Promoted
Actuarial Analyst
VirtualVocationsRenton, Washington, United StatesManager, P&C Actuarial
KPMGSeattle, WA- Promoted
Science Teacher
EMIT LearningIssaquah, Washington, USAGovernment Healthcare Actuarial Manager
US048 Mercer Health & Benefits LLCFifth Avenue,SeattleData Science Manager
iSpotBellevue, WA, USActuarial Analyst
Macpower Digital Assets EdgeRenton, WA, United StatesOliver Wyman - Actuarial Analyst - Life
Oliver Wyman GroupSeattle, WA, United StatesFood Science Intern
nutpodsBellevue, WA, USActuarial Analyst IV
Kaiser PermanenteRenton, WA, United StatesData Science Manager, PXT Central Science
AmazonSeattle, WA, United States- Promoted
Senior Manager, Data Science (Machine Learning Science)
Expedia GroupSeattle, WA, United States- psychiatrist (from $ 225,000 to $ 245,000 year)
- solutions architect (from $ 126,675 to $ 239,000 year)
- strategy analyst (from $ 37,428 to $ 234,000 year)
- network engineer (from $ 120,000 to $ 208,150 year)
- electrical design engineer (from $ 118,750 to $ 208,150 year)
- plumber (from $ 56,160 to $ 202,500 year)
- operations management (from $ 69,630 to $ 194,250 year)
- mechanical engineering (from $ 164,000 to $ 190,000 year)
- structural engineer (from $ 105,000 to $ 190,000 year)
The average salary range is between $ 36,563 and $ 177,450 year , with the average salary hovering around $ 94,450 year .
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Data Science Manager
METABellevue, WA, United States- Full-time
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
Responsibilities
Lead the collection, organization, interpretation, and summarization of statistical data to drive the strategic design and development of Meta products.
- Solve analytical problems using quantitative approaches to understanding ecosystems, user behaviors & long-term product trends, and lead data-driven projects from definition to execution.
- Collaborate with and influence Product and Engineering teams to solve complex problems, identify trends and opportunities, and shape the strategic direction of our products.
- Provide strategic insights, influence, support, and execute product decisions and launches, ensuring alignment with company-wide strategic goals.
- May be assigned to lead projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
- Tackle complex problems of diverse scope, requiring in-depth data analysis and evaluation of innovative solutions.
- Demonstrate exceptional judgment in selecting methods and techniques for obtaining solutions and driving strategic initiatives.
Minimum Qualifications
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.