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Non Exempt Implementation Science Jobs in Elizabeth, NJ

Implementation Lead

New York, NY ยท On-site

$70K - $82K/yr

He's worked in data science and engineering at Lyft. He studied math at Harvard, and his family is ... Excellent communication skills-you can clearly explain complex workflows to non-technical users

Customer Implementation Consultant

New York, NY ยท On-site

$110K - $120K/yr

With support from PhD economists, data scientists, and growth experts, Haus' AI-driven technology ... Own cMMM onboardings end-to-end, including non-API spend setup, covariate guidance, and customer ...

Training Coordinator

Corona, NY ยท On-site

$50K - $55K/yr

... Non-Exempt Full-Time, Regular, Non-Supervisory ABOUT THE NEW YORK HALL OF SCIENCE Since its ... PRINCIPAL RESPONSIBILITIES Training and Implementation * Foster empowerment among youth ...

Showing results 21-40

Non Exempt Implementation Science information

See Elizabeth, NJ salary details

$14

$34

$72

How much do non exempt implementation science jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for non exempt implementation science in Elizabeth, NJ is $34.31, according to ZipRecruiter salary data. Most workers in this role earn between $25.38 and $35.10 per hour, depending on experience, location, and employer.

What is the difference between Non Exempt Implementation Science vs Non Exempt Research Coordinator?

AspectNon Exempt Implementation ScienceNon Exempt Research Coordinator
CredentialsBachelor's degree; some roles may require certifications in implementation science or related fieldsBachelor's degree; often requires experience in research coordination
Work EnvironmentHealthcare, public health, or community settings focusing on applying research to practiceResearch institutions, hospitals, or clinics managing clinical trials
Employer & Industry UsageUsed in public health, healthcare systems, and community programsCommon in academic, clinical, and research organizations
Job FocusImplementing evidence-based practices and programsManaging research protocols and data collection

Non Exempt Implementation Science professionals focus on applying research findings to real-world settings, while Non Exempt Research Coordinators manage research projects and data. Both roles require similar educational backgrounds but differ in daily tasks and industry focus.

How to get into non exempt implementation science?

To enter non-exempt implementation science roles, candidates typically need a background in public health, healthcare, or social sciences, along with experience in research methods and data analysis. Gaining relevant skills through a master's degree or certifications in implementation science or related fields can improve job prospects, and familiarity with tools like SPSS or NVivo is often beneficial.

What job categories do people searching Non Exempt Implementation Science jobs in Elizabeth, NJ look for?

The top searched job categories for Non Exempt Implementation Science jobs in Elizabeth, NJ are:

What cities near Elizabeth, NJ are hiring for Non Exempt Implementation Science jobs?

Cities near Elizabeth, NJ with the most Non Exempt Implementation Science job openings:

Senior Associate, Data Scientist - Card Intelligence

Jobtailor

Manhattan, NY โ€ข On-site

$148 - $168.90/hr

Other

Posted yesterday

New


Job description

Senior Associate, Data Scientist - Card Intelligence

As a Data Scientist at Capital One, youโ€™ll be part of a team thatโ€™s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The US Card Data Science organization at Capital One leverages our massive wealth of customer data to drive business strategy and deliver world-class customer experiences. Our team builds and deploys sophisticated data science and machine learning models across the entire credit card lifecycleโ€”including marketing, acquisitions, underwriting, and fraud prevention. In this role, you will turn complex insights into real-world impact, shaping financial products that serve and protect millions of cardholders daily.

Role Description In this role, you will:
  • Partner with a crossโ€‘functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologiesโ€”Python, Conda, AWS, H2O, Spark, and moreโ€”to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
  • Innovative. You continually research and evaluate emerging technologies. You stay current on published stateโ€‘ofโ€‘theโ€‘art methods, technologies, and applications and seek out opportunities to apply them.
  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. Youโ€™re not afraid to share a new idea.
  • Technical. Youโ€™re comfortable with openโ€‘source languages and are passionate about developing further. You have handsโ€‘on experience developing data science solutions using openโ€‘source tools and cloud computing platforms.
  • Statisticallyโ€‘minded. Youโ€™ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • A data guru. โ€œBig dataโ€ doesnโ€™t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date.
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications
  • Masterโ€™s Degree in โ€œSTEMโ€ field (Science, Technology, Engineering, or Mathematics), or PhD in โ€œSTEMโ€ field (Science, Technology, Engineering, or Mathematics)
  • Experience working with AWS
  • At least 2 yearsโ€™ experience in Python, Scala, or R
  • At least 2 yearsโ€™ experience with machine learning
  • At least 2 yearsโ€™ experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science

New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits). Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drugโ€‘free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23โ€‘A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901โ€‘4920; New York Cityโ€™s Fair Chance Act; Philadelphiaโ€™s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1โ€‘800โ€‘304โ€‘9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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