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Remote Applied Computer Science Jobs in New York

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Computer Science , Statistics , Biology , Electrical/Mechanical/Civil Engineering , Physics ...

DeepIntent

Applied AI Engineer

New York, NY · On-site

$105K - $120K/yr

Bachelors or Masters degree in Computer Science, Mathematics or Engineering * Hands-on experience ... remote friendly culture with flexible work options, career development and advanced education ...

PhysicsX

Research Scientist

New York, NY · On-site

PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering ... Hybrid setup - enjoy our Manhattan office while keeping remote flexibility. * Enhanced parental ...

VeeRteq Solutions Inc.

Gen AI Engineer

New York, NY · Remote

Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain ... Applied Mathematics or Data Science, Computer Science, or a related field. * Technical ...

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Remote Applied Computer Science information

What is the difference between Remote Applied Computer Science vs Remote Software Developer?

AspectRemote Applied Computer ScienceRemote Software Developer
Required CredentialsBachelor's in Computer Science or related field; certifications varyBachelor's in Computer Science or related field; certifications optional
Work EnvironmentResearch, data analysis, algorithm development, often in tech or academiaDesign, coding, testing, and maintaining software applications
Employer & Industry UsageTech companies, research institutions, academiaTech firms, startups, software development agencies
Common Search & ComparisonYesYes

Remote Applied Computer Science focuses on research, algorithms, and data analysis, often in academic or research settings. Remote Software Developers primarily design and build software applications. While both roles require a computer science background, their daily tasks and industry applications differ significantly.

What are popular job titles related to Remote Applied Computer Science jobs in New York? For Remote Applied Computer Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Applied Computer Science jobs in New York look for? The top searched job categories for Remote Applied Computer Science jobs in New York are:
What cities in New York are hiring for Remote Applied Computer Science jobs? Cities in New York with the most Remote Applied Computer Science job openings:
Remote Applied Computer Science jobs near you
Infographic showing various Remote Applied Computer Science job openings in New York as of June 2026, with employment types broken down into 83% Full Time, 13% Part Time, 2% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Data Science Specialist

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Posted 3 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

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