What’s up? We’re VaynerMedia! VaynerX, LLC is a full-service global communications and advertising agency built for the now. VaynerX is the holding company for VaynerMedia, LLC (and its international entities), Vayner3, LLC, Gallery Media Group, LLC (including its publishing properties, PureWow.com and One137pm.com), Sasha Group, LLC, Tingley Lane trading, LLC, VaynerCommerce, LLC, and Eva Nosidam, LLC.  We deliver integrated programs across creative, strategy, production, and media all under one roof centred on driving relevance for clients and delivering impactful business results.  The independently-owned agency was founded in 2009 and our family of companies has offices in New York, Los Angeles, Miami, London, Amsterdam, APAC and LATAM.

Culture is our key and Empathy is how we build it. VaynerMediaAPAC is strong with a world-class combination of diverse backgrounds collaborating to put forward innovative, creative and strategic solutions to the one advantage that stands the test of time --- PEOPLE. Day in and day out, we propel some of the biggest brands in the world to the intersection of attention and culture. In APAC, we are proudly +250, servicing a diverse client all around the region.

The PITCH

Well, now we’re looking for someone who lives and breathes social media even more than us. Do you know all of the latest trends? Memes? And TikToks? Maybe you’ve dabbled in the world of influencers? Believe in the power of social media and community management to change hearts, minds, and drive sales? Love the hustle of fast-paced, hyper-growth agency life? Thrive in a role where you can bring ideas to life on billions of screens? Cool. Then let’s talk.

This exciting opportunity of a contract role based in South Korea will allow you to collaborate with the local team as well learn from the experts globally. You will manage and drive our strategy expertise and someone who is familiar with the South Korea landscape.

Are you based in South Korea ? Geeking the social media world in South Korea digital space for four plus years now? Or maybe someone aspiring and with a can-do attitude? Do you wanna geek out on the world of media and creative advertising agency? Oh well, we could be meant to be -----so keep reading!

Here’s where you come in.

• Build the bridge between brands and consumers. 
• Vocal and inventive champion with the ability to break down complex tasks and create clarity from complexity. 
• Implementation knowledge of end-to-end customer experience strategies, including customer research, strategy, vision & design
• Keen sense of developing strategy solutions, from brand strategy, down to tactical social, content and influencer strategies
• Out-of-the-box perspective on data and research to find interesting consumer insights that we can leverage on.
• Deep understanding of marketing fundamentals.
• Craft content calendars, caption banks, and trendjacking posts with ease.
• Well versed with the ability to leverage VaynerMedia tools, research and platforms to: perform content audits, collaborate with the media team to provide holistic success measurement frameworks.
• Bring the consumer’s world to life for creative teams and clients using qualitative and cultural mining and insightful synthesis of quantitative research to inform a strategic approach.
• Develop distinct and differentiated audience segmentations that are connected to strategic decisions and creative ways-in.
• Articulate effective strategic rationale and logic flow that will help form a compelling story.
• Deck crafter - someone that can detail out ideas and insights that are clear and can sell!
• Ample experience in digital agency life and content creation to fully grasp the technical aspects of creating content as well as understanding the digital consumer journey and how to engage through a digital architecture map for end-to-end campaigns.
• Curiosity is a necessity.

Here’s the “Nice To Have” Can?

• 2+ years experience as a strategist in a media or creative advertising agency in the South Korea  market.
• Can deliver work independently on all tasks and achieves results at pace with energy and drive.
• Can actively participate in collaboration sessions with other teams.
• Can execute a strong sense of priority level and urgency; and knows how to act on the critical difference between the two.
• Can manage the ongoing performance of different tasks or projects, as well as understanding and ownership of internal processes for quality assurance.
• Can administer agreed goals or projects by dealing to challenges in a responsive and constructive way.
• Can strive for zero mistakes or flagged internal process issues on work output.
• Can foster positive internal communication and collaboration with all internal teams.
• Can ensure presented ideas are clear and understood.
• Can highlight new ideas to the team and external stakeholders when appropriate.
• Can provide clear, professional, timely and helpful information to the team or external clients and partners.

What you should know about VaynerMedia

Think “lab” and not “agency”. We get excited about solving business problems, not creating advertising for the sake of making advertising. Our entrepreneurship DNA runs deep. We’re willing to break rules, try new things, and test hypotheses if it means better understanding our craft. It’s fun!

Our environment (and pace) feels much more like a start-up than most agencies you might be used to. Hopefully that, and the opportunity to collaborate with the talented and enthusiastic crew, work with big brands excites you, as it does us. We can’t wait to meet you.

P.S Portfolio would be nice :)

the talented and enthusiastic crew, work with big brands excites you, as it does us. We can’t wait to meet you.

About Us

We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.

Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.

We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.

About the position

As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. 

Key job responsibilities include:

• Analyze large datasets to research crypto signals 
• Build, back test, and refine trading and hedging strategies across exchanges
• Monitor and analyze model performance in live trading to come up with improvement ideas
• Adapt existing strategies to new exchanges and crypto products
• Conduct research in niche market forces to improve our trading performance 

What We Look For

We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.  

The ideal candidate will have: 

• Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
• Deep understanding of varying crypto market microstructure and macrostructure
• Exceptional quantitative and problem-solving skills
• Strong team player with excellent communication skills
• Ability to use advanced statistics, machine learning models to solve practical problems
• Prior experience working in a data-driven role

Benefits

• Fully paid medical and dental insurance for all employees and dependents

• Competitive 401k match and generous wellness benefits.

• Meals at work and other perks.

Location 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

About us

We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.

Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.

We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.

About The Position 

As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. 

Key job responsibilities include: 

• Analyze large datasets to research crypto signals 
• Build, back test, and refine trading and hedging strategies across exchanges
• Monitor and analyze model performance in live trading to come up with improvement ideas
• Adapt existing strategies to new exchanges and crypto products
• Conduct research in niche market forces to improve our trading performance 

What We Look For 

We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.  

The ideal candidate will have: 

• Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
• Deep understanding of varying crypto market microstructure and macrostructure
• Exceptional quantitative and problem-solving skills
• Strong team player with excellent communication skills
• Ability to use advanced statistics, machine learning models to solve practical problems
• Comfortable operating in a frenetic, high-stakes environment
• Prior experience working in a data-driven role 

Benefits

• Fully paid medical and dental insurance for all employees and dependents

• Competitive 401k match and generous wellness benefits.

• Meals at work and other perks.

Location 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Coupang is reimagining the commerce experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Powered by a dynamice end-to-end retail and logistics network and a culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Coupang wants to make you feel every day that “How did I ever live without Coupang?”.

Inbound SCMS (Supply Chain Management System) team is solving the below difficult problems with the most advanced technology.

1. Which product to buy from which vendor

2. How much of each product should we buy.

3. Where should we put our inventory, so we ship the product to customers with the fastest delivery.

4. How much inventory should we have in each of our FCs at the lowest cost.

We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry-standard AI/ML models and working with Large Language Models - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering) - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management. - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user-facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

[BASIC QUALIFICATIONS]

- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling

- Good communication experience 

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience with statistical models e.g. multinomial logistic regression

- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

[PREFERRED QUALIFICATIONS]

- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models

[Recruitment Process and Others]

Recruitment Process

• Application Review -  1st Interview - 2nd Interview - Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
• https://www.coupang.jobs/en/privacy-policy/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “    Company    ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다.  

Please complete the attached Internal Transfer Request Form and submit.  

반드시 쿠팡 이메일 계정으로 지원해 주시기 바랍니다.  

Please make sure to apply with your Coupang e-mail address.  

Eats Analytics 팀 소개 🚀

Eats Analytics 팀의 비전은 데이터, 분석, 그리고 적용형 AI를 통해 복잡한 비즈니스 문제를 해결함으로써, Coupang Eats의 모든 의사결정이 데이터에 기반하고 실질적인 임팩트를 창출하도록 만드는 것입니다.

우리 팀은 단순한 리포팅이나 운영 지원을 넘어섭니다. 비즈니스, 프로덕트, 운영 리더들과 긴밀하게 협업하여 문제를 정의하고, 분석 및 데이터 모델을 구축하며, 인사이트를 대규모로 운영에 적용합니다.

Coupang Eats의 데이터 분석은 비즈니스 전략, 실험(Experimentation), 예측(Forecasting), 그리고 AI 기반 의사결정 전반에 걸쳐 있으며, 팀원들은 Data Science, Machine Learning, 혹은 고급 비즈니스 애널리틱스 역할로 성장할 수 있는 기회를 얻게 됩니다.

Data Analyst로서 당신은 문제 정의부터 모델 기반 인사이트 도출, 실제 운영 실행까지 엔드투엔드로 관여하게 되며, 대규모 데이터, 실험 플랫폼, AI 기반 비즈니스 활용 사례를 폭넓게 경험하게 됩니다.

주요 업무 🚀

• 배달 운영, 머천트 생태계, 고객 성장, 마켓플레이스 구조 전반에 걸쳐 데이터·분석·적용형 AI를 활용하여 다양한 비즈니스 문제 해결
• 모호한 비즈니스 질문을 분석 프레임워크와 데이터 모델로 구조화하기 위해 비즈니스 및 프로덕트 리더와 협업
• 대규모 A/B 테스트와 실험을 설계, 실행, 분석하며 단기 성과와 장기 비즈니스 영향 평가
• 운영 및 전략적 의사결정을 지원하는 분석 데이터셋, 파이프라인, 모델(예: 예측, 최적화, 세그멘테이션) 개발 및 유지
• 통계 분석, 모델링, 실험을 통해 배달 시간, 비용 효율, 수요–공급 균형, 고객 유지율 등 핵심 비즈니스 지표 최적화
• 모델과 인사이트를 일상적인 의사결정 프로세스에 적용하여 운영 효율성을 높이고, 분석 방법론을 지속적으로 개선
• 단순한 과거 리포팅이 아닌 미래지향적 인사이트 제공과 핵심 지표 오너십 확보
• 고객, 머천트, 운영 데이터를 심층 분석하여 확장 가능한 성장 기회 발굴
• 기술적 배경이 없는 이해관계자에게도 명확하게 인사이트와 제안을 전달하며, 다양한 조직 레벨의 의사결정에 영향력 행사

핵심 성과 지표 (KPI)

• 분석, 실험, 모델을 통해 창출된 실질적인 비즈니스 임팩트
• 고객, 머천트, 운영 관련 KPI 개선 (유지율, 효율성, 유닛 이코노믹스 등)
• 일상 운영에서 분석 모델과 인사이트의 활용도 및 효과성

자격 요건 🚀

• 비즈니스 문제 해결을 위해 데이터 분석, 애널리틱스, 또는 데이터 사이언스를 적용한 5년 이상의 경력
• SQL에 대한 강한 숙련도와 ETL, 데이터 모델링, 대규모 데이터셋 경험
• 특정 비즈니스 도메인, 프로덕트 영역, 또는 운영 기능에 대한 분석 오너십 경험
• 데이터 인사이트를 비즈니스 성과로 연결할 수 있는 뛰어난 분석적 사고력
• 빠르게 변화하고 불확실한 환경에서 다양한 조직과 협업한 경험
• 업무 언어로서 영어 사용에 대한 편안함

우대 사항 🚀

• 정량적 전공(STEM, 금융, 경제학, 통계 등) 학사 학위
• 데이터 분석, 모델링, 실험을 위한 Python 활용 경험
• 예측, 최적화, 또는 적용형 머신러닝 모델 경험
• 이커머스, 푸드 딜리버리, 물류, 마켓플레이스 플랫폼 경험
• Data Science, 고급 애널리틱스, AI 기반 비즈니스 역할로의 성장에 대한 관심
• 석사(MS) 또는 MBA 학위 보유자 우대

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

About Eats Analytics Team 🚀

The vision of the Eats Analytics Team is to solve complex business problems through data, analytics, and applied AI, ensuring that every decision at Coupang Eats is both data-informed and impact-driven.

Our team goes beyond traditional reporting or operational support. We work closely with business, product, and operations leaders to define problems, build analytical and data models, and operationalize insights at scale. Analytics at Coupang Eats spans business strategy, experimentation, forecasting, and AI-driven decision making, providing team members with opportunities to grow toward Data Science, Machine Learning, or advanced Business Analytics roles.

As a Data Analyst, you will work end-to-end—from problem definition to model-driven insights to real-world operational execution—while gaining exposure to large-scale data, experimentation platforms, and AI-enabled business use cases.

Responsibilities 🚀

• Solve diverse business problems using data, analytics, and applied AI across delivery operations, merchant ecosystem, customer growth, and marketplace dynamics
• Partner with business and product leaders to translate ambiguous business questions into analytical frameworks and data models
• Design, execute, and analyze large-scale A/B tests and experiments, evaluating short-term impact and long-term business implications
• Develop and maintain analytical datasets, pipelines, and models (e.g., forecasting, optimization, segmentation) that support both operational and strategic decision-making
• Apply statistical analysis, modeling, and experimentation to optimize core business metrics such as delivery time, cost efficiency, demand-supply balance, and customer retention
• Enable operational excellence by operationalizing models and insights into daily decision workflows, while continuously improving methodologies
• Own key metrics and provide forward-looking insights rather than purely retrospective reporting
• Conduct deep-dive analyses on customer, merchant, and operational data to identify scalable growth opportunities
• Communicate findings and recommendations clearly to non-technical stakeholders, influencing decisions at multiple organizational levels

Key Performance Indicators

• Business impact driven by analytics, experiments, and models
• Improvement in customer, merchant, and operational KPIs (retention, efficiency, unit economics)
• Adoption and effectiveness of analytical models and insights in daily operations

Basic Qualifications 🚀

• 5+ years of experience applying analytics, data analysis, or data science to solve business problems
• Strong SQL skills and experience with ETL, data modeling, and large-scale datasets
• Experience owning analytics for a business domain, product area, or operational function
• Strong analytical thinking with the ability to connect data insights to business outcomes
• Experience working in fast-paced, ambiguous environments with cross-functional stakeholders
• Comfortable using English as a working language

Preferred Experience 🚀

• Bachelor’s degree in a quantitative field (STEM, Finance, Economics, Statistics)
• Experience with Python for data analysis, modeling, or experimentation
• Exposure to forecasting, optimization, or applied machine learning models
• Background in e-commerce, food delivery, logistics, or marketplace platforms
• Interest in growing toward Data Science, Advanced Analytics, or AI-driven business roles
• Advanced degree (MS or MBA) is a plus

Recruitment Process and Others

Recruitment Process

• Application Review - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
• This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below.

https://privacy.coupang.com/en/land/jobs/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Equal Opportunities for All

• Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Eats Analytics 팀 소개 🚀

Eats Analytics 팀의 비전은 데이터, 분석, 그리고 적용형 AI를 통해 복잡한 비즈니스 문제를 해결함으로써, Coupang Eats의 모든 의사결정이 데이터에 기반하고 실질적인 임팩트를 창출하도록 만드는 것입니다.

우리 팀은 단순한 리포팅이나 운영 지원을 넘어섭니다. 비즈니스, 프로덕트, 운영 리더들과 긴밀하게 협업하여 문제를 정의하고, 분석 및 데이터 모델을 구축하며, 인사이트를 대규모로 운영에 적용합니다.

Coupang Eats의 데이터 분석은 비즈니스 전략, 실험(Experimentation), 예측(Forecasting), 그리고 AI 기반 의사결정 전반에 걸쳐 있으며, 팀원들은 Data Science, Machine Learning, 혹은 고급 비즈니스 애널리틱스 역할로 성장할 수 있는 기회를 얻게 됩니다.

Data Analyst로서 당신은 문제 정의부터 모델 기반 인사이트 도출, 실제 운영 실행까지 엔드투엔드로 관여하게 되며, 대규모 데이터, 실험 플랫폼, AI 기반 비즈니스 활용 사례를 폭넓게 경험하게 됩니다.

주요 업무 🚀

• 배달 운영, 머천트 생태계, 고객 성장, 마켓플레이스 구조 전반에 걸쳐 데이터·분석·적용형 AI를 활용하여 다양한 비즈니스 문제 해결
• 모호한 비즈니스 질문을 분석 프레임워크와 데이터 모델로 구조화하기 위해 비즈니스 및 프로덕트 리더와 협업
• 대규모 A/B 테스트와 실험을 설계, 실행, 분석하며 단기 성과와 장기 비즈니스 영향 평가
• 운영 및 전략적 의사결정을 지원하는 분석 데이터셋, 파이프라인, 모델(예: 예측, 최적화, 세그멘테이션) 개발 및 유지
• 통계 분석, 모델링, 실험을 통해 배달 시간, 비용 효율, 수요–공급 균형, 고객 유지율 등 핵심 비즈니스 지표 최적화
• 모델과 인사이트를 일상적인 의사결정 프로세스에 적용하여 운영 효율성을 높이고, 분석 방법론을 지속적으로 개선
• 단순한 과거 리포팅이 아닌 미래지향적 인사이트 제공과 핵심 지표 오너십 확보
• 고객, 머천트, 운영 데이터를 심층 분석하여 확장 가능한 성장 기회 발굴
• 기술적 배경이 없는 이해관계자에게도 명확하게 인사이트와 제안을 전달하며, 다양한 조직 레벨의 의사결정에 영향력 행사

핵심 성과 지표 (KPI)

• 분석, 실험, 모델을 통해 창출된 실질적인 비즈니스 임팩트
• 고객, 머천트, 운영 관련 KPI 개선 (유지율, 효율성, 유닛 이코노믹스 등)
• 일상 운영에서 분석 모델과 인사이트의 활용도 및 효과성

자격 요건 🚀

• 비즈니스 문제 해결을 위해 데이터 분석, 애널리틱스, 또는 데이터 사이언스를 적용한 5년 이상의 경력
• SQL에 대한 강한 숙련도와 ETL, 데이터 모델링, 대규모 데이터셋 경험
• 특정 비즈니스 도메인, 프로덕트 영역, 또는 운영 기능에 대한 분석 오너십 경험
• 데이터 인사이트를 비즈니스 성과로 연결할 수 있는 뛰어난 분석적 사고력
• 빠르게 변화하고 불확실한 환경에서 다양한 조직과 협업한 경험
• 업무 언어로서 영어 사용에 대한 편안함

우대 사항 🚀

• 정량적 전공(STEM, 금융, 경제학, 통계 등) 학사 학위
• 데이터 분석, 모델링, 실험을 위한 Python 활용 경험
• 예측, 최적화, 또는 적용형 머신러닝 모델 경험
• 이커머스, 푸드 딜리버리, 물류, 마켓플레이스 플랫폼 경험
• Data Science, 고급 애널리틱스, AI 기반 비즈니스 역할로의 성장에 대한 관심
• 석사(MS) 또는 MBA 학위 보유자 우대

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

About Eats Analytics Team 🚀

The vision of the Eats Analytics Team is to solve complex business problems through data, analytics, and applied AI, ensuring that every decision at Coupang Eats is both data-informed and impact-driven.

Our team goes beyond traditional reporting or operational support. We work closely with business, product, and operations leaders to define problems, build analytical and data models, and operationalize insights at scale. Analytics at Coupang Eats spans business strategy, experimentation, forecasting, and AI-driven decision making, providing team members with opportunities to grow toward Data Science, Machine Learning, or advanced Business Analytics roles.

As a Data Analyst, you will work end-to-end—from problem definition to model-driven insights to real-world operational execution—while gaining exposure to large-scale data, experimentation platforms, and AI-enabled business use cases.

Responsibilities 🚀

• Solve diverse business problems using data, analytics, and applied AI across delivery operations, merchant ecosystem, customer growth, and marketplace dynamics
• Partner with business and product leaders to translate ambiguous business questions into analytical frameworks and data models
• Design, execute, and analyze large-scale A/B tests and experiments, evaluating short-term impact and long-term business implications
• Develop and maintain analytical datasets, pipelines, and models (e.g., forecasting, optimization, segmentation) that support both operational and strategic decision-making
• Apply statistical analysis, modeling, and experimentation to optimize core business metrics such as delivery time, cost efficiency, demand-supply balance, and customer retention
• Enable operational excellence by operationalizing models and insights into daily decision workflows, while continuously improving methodologies
• Own key metrics and provide forward-looking insights rather than purely retrospective reporting
• Conduct deep-dive analyses on customer, merchant, and operational data to identify scalable growth opportunities
• Communicate findings and recommendations clearly to non-technical stakeholders, influencing decisions at multiple organizational levels

Key Performance Indicators

• Business impact driven by analytics, experiments, and models
• Improvement in customer, merchant, and operational KPIs (retention, efficiency, unit economics)
• Adoption and effectiveness of analytical models and insights in daily operations

Basic Qualifications 🚀

• 5+ years of experience applying analytics, data analysis, or data science to solve business problems
• Strong SQL skills and experience with ETL, data modeling, and large-scale datasets
• Experience owning analytics for a business domain, product area, or operational function
• Strong analytical thinking with the ability to connect data insights to business outcomes
• Experience working in fast-paced, ambiguous environments with cross-functional stakeholders
• Comfortable using English as a working language

Preferred Experience 🚀

• Bachelor’s degree in a quantitative field (STEM, Finance, Economics, Statistics)
• Experience with Python for data analysis, modeling, or experimentation
• Exposure to forecasting, optimization, or applied machine learning models
• Background in e-commerce, food delivery, logistics, or marketplace platforms
• Interest in growing toward Data Science, Advanced Analytics, or AI-driven business roles
• Advanced degree (MS or MBA) is a plus

Recruitment Process and Others

Recruitment Process

• Application Review - SQL Live Coding Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
• This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below.

https://privacy.coupang.com/en/land/jobs/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Equal Opportunities for All

• Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

About Coupang

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Job description:

We are seeking an exceptionally pragmatic and results-driven Lead Data Analyst to be the strategic core of our Supply Chain team. Your mission is to solve our toughest inventory challenges—from preventing stockouts to clearing excess goods. This is not a back-office reporting role. You will be a hands-on catalyst who can "figure things out," develop clever solutions, and collaborate across the company to see your insights implemented in our production systems.

Key responsibilities:

Lead the Full Cycle from Idea to Production-Ready Insight: 

1. Ideate & Develop Smart Heuristics: Proactively identify weaknesses in our supply chain systems and develop clever, practical logic. Your focus will be on forecast correction logic (to override our main models when they fail), Out-of-Stock (OOS) attribution models, and excess inventory flagging rules.
2. Build Rapid Proof-of-Concepts (POCs): Quickly validate your ideas with hands-on POCs. You will build working prototypes, such as a Root Cause Analysis dashboard that automatically attributes OOS events to causes like 'Supplier Delay' or 'Under-forecasting'.
3. Champion for Productionalization: Partner closely with our Demand Planning and Engineering teams to get your validated POCs productionalized. You are the subject-matter expert who ensures your logic is accurately integrated into our core inventory planning systems.

Become the Go-To Expert on Inventory Health: Own the analytics around our key supply chain KPIs, including Out-of-Stock rates and Sell-Through. You will not just report on these numbers; you will provide the "why" behind them.

Act as a Data Translator: Proactively communicate with technical and non-technical partners, ensuring stakeholders understand not just the 'what' but the 'so what' of your findings. You are the bridge that turns complex analysis into clear business directives.

Mentor and Elevate: As a lead, you will guide and mentor other analysts on the team, establishing best practices for high-impact, efficient, and reproducible analysis.

Qualifications: 

• 7+ years of professional experience in data analytics, business intelligence, or a related quantitative field.
• Development background is highly preferred. You think in terms of systems and build solutions for the long term. You likely started your career as a developer or have consistently worked in roles that required strong software engineering principles.
• Domain expertise in Supply Chain, Inventory Management, or Demand Planning is a significant advantage. Experience in e-commerce is also a major plus.

Core Technical Proficiencies:

• Database Expertise (SQL): You possess expert-level SQL skills. You are highly experienced in writing clean, efficient queries to manipulate massive datasets across our primary data platforms, including our data warehouse (Redshift) and data lake (Hive).
• Data Scripting & Automation: You have high proficiency in a scripting language for complex analysis and automation. You are an expert in either Python (with its data ecosystem like pandas, NumPy) or R.
• Dashboarding & Visualization: You have deep, hands-on experience creating insightful and actionable dashboards. You are an expert in at least one of our primary BI tools — Tableau, Power BI, or Apache Superset — and are comfortable navigating the others.
• Analysis as Code (GitHub): You treat analysis as code. Proficiency with Git and GitHub is essential for versioning your queries and scripts and collaborating with the team.
• Generative AI as a Force Multiplier: You are a pragmatic user of Generative AI (e.g., Windsurf, Gemini) to accelerate your workflow—from writing code and debugging issues to managing projects and summarizing findings.

Key Competencies:

• Pragmatic Problem-Solver: You have a knack for creating simple, effective solutions to complex problems and understand when a smart heuristic is better than a perfect but slow model.
• Master Communicator: You can simplify complexity, persuade stakeholders with data-driven narratives, and create clear, concise documentation for your work.
• Sustainable Code Practices: You write clean, modular, and reusable code in both SQL and your chosen scripting language. Your work is easy for others to understand, trust, and build upon.

Recruitment Process

• Application Review - Phone Interview - Virtual Onsite Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.

https://www.coupang.jobs/en/privacy-policy/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email ( recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

Coupang is reimagining the commerce experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Powered by a dynamice end-to-end retail and logistics network and a culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Coupang wants to make you feel every day that “How did I ever live without Coupang?”.

Inbound SCMS (Supply Chain Management System) team is solving the below difficult problems with the most advanced technology.

1. Which product to buy from which vendor

2. How much of each product should we buy.

3. Where should we put our inventory, so we ship the product to customers with the fastest delivery.

4. How much inventory should we have in each of our FCs at the lowest cost.

We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry-standard AI/ML models and working with Large Language Models - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering) - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management. - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user-facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

[BASIC QUALIFICATIONS]

- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling

- Good communication experience 

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience with statistical models e.g. multinomial logistic regression

- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

[PREFERRED QUALIFICATIONS]

- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models

[Recruitment Process and Others]

Recruitment Process

• Application Review -  1st Interview - 2nd Interview - Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
• https://www.coupang.jobs/en/privacy-policy/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “    Company    ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

The Site Reliability Engineering team at IMC Trading is focused on the scalability and reliability of our trading systems.

We are responsible for the operations of real-time systems, providing fast and effective incident response to keep IMC trading in the market. We work closely with traders and software developers to define short and long term improvements that make our trading systems easier to operate and more scalable. In the process, we build an understanding of IMC’s trading strategies and software stack and apply automation that allows everyone to move fast, safely.

Your Core Responsibilities:

• Provide continuity, stability, and reliability of the Korean trading production environment.
• Ensure continuity of critical trading operations, prioritising resolution of system issues with a sense of urgency: you will be the first layer of response, and will need to triage and resolve / escalate issues under time pressure.
• Support and monitor trading systems, proactively addressing problems before they are noticed
• Partner with technology and trading teams to continually evolve and deploy system architecture
• Define and own improvements to our systems and make sure they are delivered, whether by the SRE team, our dev teams or trading teams
• Making sure that quick fixes are turned into lasting solutions
• Support and oversight on corporate infrastructure where required
• Liaise with vendors for IT related tasks and problem resolutions

Your Skills and Experience:

• Fluent in English both verbal and written is a must.
• Fluent in Korean both verbal and written is a strong advantage.
• Tertiary qualifications in engineering, computer science or equivalent.
• 5+ years of experience, including 3+ years of experience in Site Reliability Engineering, Systems Integration, or a related role
• 3+ years of hands-on professional experience with Linux operating systems, network configuration, containers and orchestration tools, including Kubernetes
• Proficiency in Python and Bash is required, experience with Go, Java and C++ are desirable

FEQ227R130

As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be performance tuning, machine learning, industry expertise, or more.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Architect production level workloads, including end-to-end pipeline load performance testing and optimisation
• Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
• Improve community adoption (through tutorials, training, hackathons, conference presentations)
• Contribute to the Databricks Community

What we look for:

• You will have experience in a customer-facing technical role with expertise in at least one of the following:
• Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
• Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning.
• Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time value.
• Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.
• Maintain and extend production data systems to evolve with complex needs.
• Production programming experience in Python, R, Scala or Java
• Deep Specialty Expertise in at least one of the following areas:
• Experience scaling big data workloads that are performant and cost-effective.
• Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces.
• Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.
• Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow.
• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Native level Korean is required and Business level English is a plus

Position Summary

The Military Information Support Operations (MISO) Planner supports USFK Joint IO/IW planning and execution by developing MISO-focused planning products and integrating MISO as an IRC into operations, orders, and assessments . The role helps synchronize MISO with other IRCs and sensitive activities, informs leadership decision-making through analysis and assessment, and supports readiness for day-to-day competition and contingency operations .

Key Duties and Responsibilities

• Develop MISO-related operational concepts, plans, annexes/tabs, estimates, and deliverables for joint planning
• Research, develop, validate, utilize, analyze, and assess MISO tools/capabilities and their integration with IO/IW, OIE, and sensitive activities
• Incorporate MISO and related IRCs into operations orders, annexes, and evaluation/assessment plans
• Conduct or support quantitative/qualitative analysis and assessment research to establish baselines and evaluate IO/IW and sensitive activities effectiveness
• Support academic outreach, experiments, and scientific application integration aligned to IO/IW objectives
• Contribute to IRC approaches and required IRC roll-ups supporting USFK OAIs

Required Qualifications

• Bachelor’s degree (or equivalent relevant experience)
• 5+ years of experience in MISO planning, information operations, influence activities, assessment, or related operational planning
• Demonstrated ability to draft and staff planning products and integrate outputs into orders/annexes and assessment plans
• Applied analytical skills supporting baseline development and effectiveness assessment in operational contexts
• Ability to operate effectively in a security-conscious environment and comply with all training/access requirements

Preferred Qualifications

• Experience integrating MISO within multi-IRC portfolios and campaign planning (OIE integration)
• Experience supporting experiments/innovation efforts and transitioning insights into operationally usable products
• Familiarity with joint doctrine relevant to IO/IW and influence planning (as applicable to the TO)

Potential Scenarios & Expected Outcomes

• Competition activities: synchronized MISO planning embedded into campaign products and OAIs
• Assessment-driven refinement: measurable baselines and assessment outputs informing adjustments to IO/IW and sensitive activities

Position Summary:

The Targeting Analyst and Planner provides Operational Intelligence (OI) services and targeting support that enhances situational awareness, enables rapid decision-making, improves current and long-term IO/IW planning, and synchronizes IO with mission partners. In this role you will deliver Intelligence Support for Information Operations (ISIO) and Sensitive Activities (SA) targeting support, coordinating and tracking intelligence requirements across IRCs and ensuring feedback loops between collection, targeting, and IO/IW operations.

Day to Day Responsibilities:

• Provide ISIO and sensitive activities targeting technical expertise supporting USFK OAIs
• Facilitate deconfliction supporting intelligence gain/loss considerations and political/military assessments
• Support development of intelligence inputs to command collection plans enabling planning, execution, and feedback for measures of performance/effectiveness
• Coordinate, consolidate, submit, track, and manage intelligence requirements across IRCs
• Participate in development of targeting activities to align collections, capabilities, prioritization, and feedback to IW/IO activities
• Produce analytical products supporting IO/IW planning for supported USFK J3 divisions; deliver required intelligence reports/products
• Support quantitative/qualitative analysis and assessment research reinforcing baseline establishment and IO/IW and sensitive activities assessment

Required Qualifications:

• Bachelor’s degree (or equivalent relevant experience)
• TS/SCI Clearance 
• 5+ years of experience in all-source analysis, operational intelligence support, targeting support, or information operations intelligence support
• Demonstrated experience drafting analytical products and coordinating intelligence requirements and collection-support activities
• Ability to work in dynamic operational planning environments (competition through contingency response)
• Ability to operate effectively in a security-conscious environment and comply with all training/access requirements

Preferred Qualifications: 

• Experience supporting joint targeting processes specifically for IO/IW, ISIO, and sensitive activities targeting
• Experience building measures of performance/measures of effectiveness feedback loops tied to collection plans and assessments
• Experience integrating intelligence support into campaign planning and OIE-focused execution

Are you a STEM expert fluent in Korean, eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery and technical problem-solving. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline work for engineers, scientists, and analysts everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.

We’re looking for STEM specialists who live and breathe mathematics, physics, chemistry, engineering, data science, computer science, and scientific computing. You’ll challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling—documenting every failure mode so we can harden model reasoning.

On a typical day, you will converse with the model on real-world STEM problem-solving scenarios and theoretical technical questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

A bachelor’s or master’s degree in a STEM discipline is ideal; published research, engineering design experience, data analysis projects, or coding portfolios signal fit. Clear, metacognitive communication—“showing your work”—is essential.

Ready to turn your STEM expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Job title: STEM Specialist (Fluent in Korean) – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level

IMC is seeking experienced Quantitative Traders to drive the monetisation of high to mid-frequency delta-one trading strategies within the APAC markets. In this role, you will harness your expertise to develop and execute profitable systematic trading strategies that deliver measurable results. Joining our dynamic and growing research and trading team, you’ll collaborate closely with quant researchers, software engineers, and hardware engineers to uncover opportunities, optimize performance, and enhance our production outcomes.

IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.

Your Core Responsibilities:

• Develop and deploy high to mid-frequency systematic trading strategies, with a focus on APAC equities markets.
• Identify and exploit inefficiencies in financial markets, optimizing trade selection and minimizing market impact.
• Design and implement execution algorithms that account for market microstructure and dynamic liquidity conditions
• Manage and optimize risk exposures in line with the firm's risk tolerance and trading objectives.

Your Skills and Experience:

• Degree in a quantitative field such as Mathematics, Physics, Computer Science, Engineering, or Economics.
• 4+ years experience in quantitative trading with specific experience in the high to mid-frequency delta-one space, ideally within APAC markets.
• Strong programming skills in at least one language (python strongly preferred).
• Strong understanding of financial markets, market microstructure, and trading systems.
• Experience in modelling market impact, with a deep understanding of order book dynamics, and liquidity provision
• Experience building predictive models for order placement, timing, and sizing to reduce adverse selection and slippage.
• Strong data analysis skills, including working with large-scale financial datasets and tick-level data.
• Excellent problem-solving skills, with the ability to thrive under pressure and adapt to changing market conditions.