Top 1249 Data scientist Jobs in Newark, Nj

Simulation Engineer - AI Trainer
DataAnnotation —Newark, NJ
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Data Scientist - AI Trainer
DataAnnotation —Pearl River, NY
- $50 - $100 an hour
- Contract
- Remote
- English
- Mid-level
- Bachelor's degree
- Flexible schedule
Simulation Engineer - AI Trainer
DataAnnotation —Mount Vernon, NY
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Director, Data Science
Novartis —East Hanover, NJ
- $194,600 - $312,400 a year
- Full-time
- Azure
- 6 years
- Computer Science
- Paid time off
- Parental leave
Hourly Data Analyst
New Jersey Institute of Technology —Newark, NJ
- $20 an hour
- Part-time
- Computer Science
- Bachelor of Science
- Mid-level
10967 IT Data Scientist Principal I
PSEG —Newark, NJ
- $83,755 - $170,300 a year
- Hybrid work
- Computer Science
- Bachelor of Science
- Pass drug screening
- Health insurance
- Dental insurance
14d
Forward Deployed Engineer - Applied AI - Senior - Financial Services - Consulting
EY —New York, NY
- $106,900 - $200,600 a year
- 3 years
- Bachelor's degree
- Senior level
- Paid holidays
- Health insurance
14d
AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
EY —New York, NY
- $106,900 - $200,600 a year
- Azure
- 3 years
- Java
- Paid holidays
- Health insurance
AI Sr. Developer (Secret Clearance Required)
Deloitte —Jersey City, NJ
- $107,600 - $198,400 a year
- Full-time
- Computer Science
- 5 years
- Travel
4d
Applied ML Systems Engineer - Finance - NEW YORK - UNITED STATES
Park Lane Recruitment —New York, NY
- $250,000 - $350,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Health insurance
- 401(k) matching
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Senior AI Agents Developers - NEW YORK CITY - $500k+
Park Lane Recruitment —New York, NY
- $500,000 - $1,000,000 a year
- Full-time
- Computer Science
- 5 years
- System design
- Profit sharing
- Disability insurance
Quick Apply
Sr. Distinguished AI Engineer
Capital One —New York, NY
- Email
- Azure
- Computer Science
- Java
- Health insurance
AI Engineer
Macquarie Group Limited —New York, NY
- $154,000 - $175,000 a year
- Full-time
- System design
- Analysis skills
- Senior level
- Paid parental leave
- Health savings account
Senior Lead AI Engineer (Gen AI Platform Services)
Capital One —New York, NY
- Email
- Azure
- Computer Science
- Java
- Health insurance
Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)
Capital One —New York, NY
- Email
- Azure
- Computer Science
- Java
- Health insurance
Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)
Capital One —New York, NY
- Email
- Azure
- Computer Science
- Java
- Health insurance
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One —New York, NY
- Email
- Azure
- Computer Science
- Java
- Health insurance
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One —New York, NY
- Email
- Azure
- Computer Science
- Java
- Health insurance
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One —New York, NY
- Email
- Azure
- Computer Science
- Java
- Health insurance
Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)
Capital One —New York, NY
- Email
- Azure
- Computer Science
- Java
- Health insurance

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data scientist jobs near newark, nj

Simulation Engineer - AI Trainer

DataAnnotation -
Newark, NJ

Quick Apply

Job Details

Part-time | Full-time | Contract
$40 - $60 an hour

Benefits

Flexible schedule

Qualifications

Quantitative applied research
Software coding
Writing skills
Design of experiments
English
Providing code feedback

Full Job Description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an experienced Simulation Engineer - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick Apply

Refine Your Search

data scientist jobs in newark, nj

Simulation Engineer - AI Trainer

Data Scientist - AI Trainer

Simulation Engineer - AI Trainer

Director, Data Science

Hourly Data Analyst

10967 IT Data Scientist Principal I

Forward Deployed Engineer - Applied AI - Senior - Financial Services - Consulting

AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN

AI Sr. Developer (Secret Clearance Required)

Applied ML Systems Engineer - Finance - NEW YORK - UNITED STATES

Senior AI Agents Developers - NEW YORK CITY - $500k+

Sr. Distinguished AI Engineer

AI Engineer

Senior Lead AI Engineer (Gen AI Platform Services)

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

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