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Korean Data Science Remote Jobs (NOW HIRING)

MILLENNIUMSOFT

Data Science

Franklin Lakes, NJ · On-site +1

Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT) Hybrid to remote 3 days on site Education: Prefer a degree in data science, statistics, applied analytics, computer ...

Envision

Data Scientist

Manhattan, NY · Remote

AI/ML Data Scientist (Remote) We are seeking an AI/ML Data Scientist for our client for a remote position. US Citizens or Green Card Holders ONLY!! No C2C No Third Party Agencies . What you'll do ...

Premise Health

Data Science Analyst - Remote

Nashville, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote Data Science Analyst role. What You'll Do Analysis, Model Development & AI Solutions: Perform exploratory data analysis to identify patterns and opportunities in health ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

YO IT Consulting

Data Scientist - Remote

Boston, MA · Remote

Role Overview Leading AI lab to engage independent Data Science Experts for diverse research and ... This is a fully remote role that can be completed on your own schedule. Projects can be extended ...

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Korean Data Science Remote information

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$41.5K

$142.5K

$201K

How much do korean data science remote jobs pay per year?

As of Jun 4, 2026, the average yearly pay for korean data science remote in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Korean Data Science Remote professional, and why are they important?

To thrive as a Korean Data Science Remote professional, you need strong analytical skills, proficiency in statistical methods, and fluency in both Korean and English, typically backed by a degree in data science or a related field. Expertise in programming languages like Python or R, experience with machine learning frameworks, and familiarity with data visualization tools such as Tableau are crucial, along with certifications in data analytics or machine learning. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help you stand out in this role. These competencies are essential for extracting actionable insights from data, collaborating with international teams, and delivering impactful results in a remote work environment.

What are the common challenges faced by Korean Data Science professionals working remotely, and how can they overcome them?

Korean Data Science professionals working remotely often face challenges such as collaborating across different time zones, maintaining efficient communication with international teams, and ensuring data security when accessing sensitive information from home. To overcome these, it's important to establish clear communication routines, utilize collaboration tools like Slack or Microsoft Teams, and follow company guidelines for secure data handling. Staying proactive in seeking feedback and regularly updating project stakeholders can also help ensure alignment and project success.

What does a Korean Data Science Remote job involve?

A Korean Data Science Remote job involves analyzing and interpreting complex data sets, often focusing on data relevant to Korean language, culture, or business operations. Professionals in this role use statistical techniques, machine learning, and data visualization tools to extract insights and help organizations make data-driven decisions. Working remotely, they collaborate with teams virtually, often requiring proficiency in both Korean and English. Typical tasks include data cleaning, building predictive models, and presenting findings to stakeholders. This position is ideal for those who have strong analytical skills and can work independently from any location.

What is the difference between Korean Data Science Remote vs Data Analyst Remote?

AspectKorean Data Science RemoteData Analyst Remote
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/RDegree in Statistics, Economics, or related field; proficiency in Excel and SQL
Work EnvironmentRemote, often collaborative with international teams, using cloud-based toolsRemote, with focus on data reporting and visualization tools
Employer & Industry UsageTech companies, finance, e-commerce in Korea and globallyBusiness, marketing, finance sectors worldwide

In summary, Korean Data Science Remote roles focus on advanced analytics, machine learning, and programming, while Data Analyst Remote positions emphasize data reporting, visualization, and basic analysis. Both roles are remote but differ in technical complexity and skill requirements.

Infographic showing various Korean Data Science Remote job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 85% Full Time, 9% Part Time, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Other

This job post has expired today. Applications are no longer accepted.

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)

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