2

Korean Data Science Remote Jobs (NOW HIRING)

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. #J-18808-Ljbffr

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... coaching others to achieve high standards? Join us in shaping a more just world. About Us

Role Summary We are seeking a Contract Data Scientist (Remote) specialized in Microsoft Azure's AI ecosystem. This is a hands-on role focused on implementing RAG/search pipelines with Azure Cognitive ...

New Demand - Data Scientist Remote * Total Years of experience 10-12 years * 6 months+ * Occasional travel to the client location is required. * Candidates might need to overlap with offshore on need ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

next page

Showing results 1-20

Korean Data Science Remote information

See salary details

$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 Scientist (Remote)

Data Scientist (Remote)

Zenlaw

Manhattan, NY • Remote

Full-time

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


Job description

About us We're on a mission to bring contracts and any other long documents to the 21st century! We're using AI to make these documents intelligible, abstracting what matters in them and detailing their content so that humans can manipulate them easily. We've been working on this since the beginning of 2021, and have applications in Real Estate, Finance, Insurance, and other industries.

Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as possible. Position Description At Zenlaw, we rely on data to guide our initiatives.

This data helps to mold both our long-term strategy and our day-to-day operations. As a Data Scientist, you will be working with our engineering team to model complex problems and identify high‐impact opportunities. You will be part of a high‐energy, fast‐paced team responsible for supporting initiatives and working on our ground‐breaking AI models.

Our full‐stack Data Science Team uses Python for research and development. Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and unsupervised problems. As part of the team, you are free to use the approach you see fit while relying on your colleague's previous experience and expertise.

As a Data Scientist, you will : Research new techniques and frameworks for NLP tasks Design new experiments for data abstraction and categorization of sentences / paragraphs Work with our lawyers to review initial results and implement pre and post‐processing scripts to improve the accuracy of models Run data analysis on our dataset to design potential rules for annotation. Improve the architecture of data modeling and data tooling in partnership with Engineering and cross‐functional business partners Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions. We are looking for a passionate Data Scientist with : Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data Science, Statistics, Applied Mathematics, or another quantitative field 2+ years of industry work experience as an analyst, data scientist, or equivalent Experience with training and deploying NLP deep learning models Exceptional skills in Python, SQL, and any other programming language for data analysis and visualization.

Excellent written and oral English communication skills with experience evangelizing the value of leveraging data in making both strategic and product decisions Experience with reporting systems and data pipeline architecture. Demonstrated problem‐solving experience with the ability to break down complex and unstructured problems into layman's terms An online sample of your analytical and / or data visualization abilities is greatly appreciated. Nice to have : Experience with Golang, and / or Git Experience with SpaCy, Transformers, PyTorch, or similar NLP framework Experience working with ontologies and knowledge graphs Experience in MLOps Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field You care about : Ownership : you easily communicate ideas, implement them, and take responsibility for your actions Helping others : sharing knowledge with your colleagues is on top of your priorities Fast‐paced startups : you love adapting to different situations, and you know how and when to iterate fast and with high quality Our product : you believe in our vision, and are willing to give your best to build the future of Zenlaw What we offer you : Entrepreneurial responsibility and flat‐hierarchies Ownership of your work Position 100% remote Open‐minded variety of nationalities A collaborative, open workplace Team Events This is a remote position that can be done from anywhere.

Due to the remote nature of this role, we are unable to provide visa sponsorship. #J-18808-Ljbffr