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Technology Evaluation Jobs In Newark Nj - 7 Job Positions Available

1 – 7 of 7 jobs
Prudential Financial jobs

Job Classification:Technology - Engineering & Cloud A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making a

Prudential Financial  17 days ago
PGIM jobs

Job Classification:Technology - Engineering & Cloud A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making a

PGIM  16 days ago
Prudential Financial jobs

Job Classification:Technology - Engineering & Cloud Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built

Prudential Financial  11 days ago
TEK Systems jobs

Description This role sits at the intersection of Data Management & Governance, enterprise data quality assurance, Responsible AI operations, data architecture, and technology risk management. The position is accountable for making quality and governance requirements executable in

TEK Systems  5 days ago
Strive Health jobs

How You’ll Make An Impact At Strive Health, patients come first. We’re on a mission to transform chronic conditions by identifying risk earlier, coordinating thoughtful care, and supporting people through every stage of their health journey.

Strive Health  4 days ago

Legion Health Psychiatrist Opportunity [We show compassion to heal minds.] About Legion Health Legion Health is a technology-forward psychiatry company delivering world-class outpatient mental health care while expanding access for patients through insurance. We are seeking exceptional

Legion Health  2 days ago
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MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  16 days ago

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