ZipRecruiter

Log In

1

Computer Science Data Science Jobs in Newark, NJ

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Qualifications Must-Have * 3+ years of research, academic, or industry experience in Machine Learning , Data Science , Software Engineering , Computer Science , Statistics , Biology , Electrical ...

Integral Ad Science

Staff Data Scientist

New York, NY · On-site

$135.10K - $231.60K/yr

As a Staff Data Scientist , Fraud Detection, at IAS, you will be part of a team that is at the ... computer science to finance and economics. We're passionate about maintaining an open and ...

Integral Ad Science

Staff Data Scientist

New York, NY · On-site

$135.10K - $231.60K/yr

As a Staff Data Scientist , Fraud Detection, at IAS, you will be part of a team that is at the ... computer science to finance and economics. We're passionate about maintaining an open and ...

DeepIntent

Director, Data Science

New York, NY

$200K - $250K/yr

D. in Computer Science, Statistics, Mathematics a plus * 8+ years of experience in data science, machine learning, or advanced analytics roles. * 3+ years of experience leading data science or ...

DeepIntent

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

D. in Computer Science, Statistics, Mathematics a plus * 8+ years of experience in data science, machine learning, or advanced analytics roles. * 3+ years of experience leading data science or ...

next page

Showing results 1-20

People also search for

All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in Newark, NJ

Computer Science Data Science information

See Newark, NJ salary details

$39.2K

$128.2K

$205.2K

How much do computer science data science jobs pay per year?

As of May 30, 2026, the average yearly pay for computer science data science in Newark, NJ is $128,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $142,000.00 per year, depending on experience, location, and employer.
What are popular job titles related to Computer Science Data Science jobs in Newark, NJ? For Computer Science Data Science jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Computer Science Data Science jobs in Newark, NJ look for? The top searched job categories for Computer Science Data Science jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Computer Science Data Science jobs? Cities near Newark, NJ with the most Computer Science Data Science job openings:
Computer Science Data Science jobs near you
Infographic showing various Computer Science Data Science job openings in Newark, NJ as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $128,189 per year, or $61.6 per hour.
Data Science Specialist

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • On-site

Full-time

Posted 8 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Apply