ZipRecruiter

Log In

1

Computer Science Data Science Jobs in New York, NY

MSD

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Bachelor's degree in mathematics, statistics, data science, computer science, or related field * Advanced degree (PhD or Master's + 3+ years industry experience) preferred * Hands-on experience with ...

MM International

Data Scientist

New York, NY · Remote

PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. * Relevant clinical development experience (programming, RBM/RBQM, Data Management ...

next page

Showing results 1-20

All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in New York, NY

Computer Science Data Science information

See New York, NY salary details

$41K

$134.3K

$215K

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

As of Aug 10, 2026, the average yearly pay for computer science data science in New York, NY is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

Is a computer science degree good for data science?

A computer science degree is highly valuable for data science roles, as it provides a strong foundation in programming, algorithms, and data structures essential for analyzing large datasets. Many data scientists also learn tools like Python, R, and SQL, and may pursue certifications or specialized training to enhance their skills. Having a degree can improve job prospects and understanding of complex technical concepts in data science.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing models, and using programming languages like Python or R. The main difference is that a data scientist often focuses more on data analysis and insights, while a computer science data scientist may have a stronger background in algorithms and software development. Skills in statistical methods, machine learning, and data visualization are essential for both positions.
What are popular job titles related to Computer Science Data Science jobs in New York, NY? For Computer Science Data Science jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Computer Science Data Science jobs in New York, NY look for? The top searched job categories for Computer Science Data Science jobs in New York, NY are:
What cities near New York, NY are hiring for Computer Science Data Science jobs? Cities near New York, NY with the most Computer Science Data Science job openings:
Computer Science Data Science jobs near you

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Re-posted 21 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)

Employment Type: FULL_TIME

Apply