1. 코드스테이츠 - Data Scientist

담당업무

① Data Science 교육 콘텐츠 개발

② 분석/예측 모델 개발

③ 학습 지도

자격요건

- Data Scientist, Machine/Deep Learning Engineer 경력 1년 이상 혹은 그에 준하는 경력

- 교육에 대한 철학과 열정

- 커뮤니케이션 스킬 및 협업 능력

- Data Science 에 대한 깊은 이해

- 학습자의 입장에서 생각할 수 있는 공감 능력

- 다양한 사람들과 잘 어울려서 일할 수 있는 분

- 자기주도적으로 일할 수 있는 태도

- 문제를 스스로 정의하고 해결할 수 있는 분

- 긍정적인 마인드를 가지고 새로운 일에 도전하기 좋아하는 분

2. 블룸버그 -2021 Market Data Analyst

담당업무

- Utilise a variety of software solutions to extract and rationalise data to Bloomberg taxonomies

-  Analyse internal processes to identify opportunities for improvement, as well as devise and implement

   innovative solutions

- Implement business rules for programmatic data validation by codifying market conventions and/or data

  relationships

-  Design and manage workflow configurations for critical functions such as acquisition, worklist management,

   and quality control

-  Contribute to continuous improvement by generating ideas to improve our data products and/or associated

   processes and building prototypes to validate and illustrate requirements

자격요건

- A bachelor's degree, preferably with combined studies in Information Systems and Finance, or related business

  and STEM fields

-  Strong passion for data, technology and finance

- Demonstrated project or work experience using one more programming language such as Python, SQL and R

- Fluency in Korean and English (both spoken and written)

- Excellent written and oral communication skills

- Understanding and experience of statistics and data modeling

- Solid attention to detail and strong evidence of decision-making and problem solving skills

3. 하이퍼커넥트 - Business Data Analyst

담당업무

- Work with data and stakeholders to deliver actionable business insights

- Democratize data access and analysis so that all stakeholders can quickly take action to match changing

  business conditions

- Create dashboards to monitor user behavior and to efficiently surface business issues

- Coach relevant staff to grow department-wide data aptitude

자격요건

- 2+ years of experience in data analysis working with large data sets

- strong SQL skills and Korean language fluency

- Excellent problem solving skills Fundamental understanding of statistics

- Understanding of basic statistics

- Strong proficiency in Microsoft Excel

4. 아이큐비아 - Healthcare Real World Data Analyst 담당자

담당업무

- HIRA / Claims data 를 기반으로 data analysis 진행

- Outcome Research 관련 업무 진행 (Longitudinal retrospective study design /Longitudinal prospective

  observational study design) 등

- Conduct cross-sectional survey of patients / healthcare providers

- Patient reported outcome report delivery 등 HEOR 전반적인 업무 수행

자격요건

- Claims Data 관련 분석 경력자

- SAS / Python / R 등 통계 프로그래밍 언어 사용 가능자

- 통계학 전공자, 통계 및 Epidemiology 관련 석사 학위 소유자 선호

5. 존슨앤존슨 - Data Scientist

담당업무

This role requires guidance in data analytics strategy and work effectively in a cross functional team environment

and projects. You will be expected to liaise with stakeholders around the business to improve execution of current

projects in SFE, multi-channel/digital analysis and sales forecasting as well as negotiate novel analytic initiatives,

serving unmet business needs and accelerating innovation. You will also be working with supporting technology

teams to improve data mining processes of internal and external data sources.

자격요건

- 3+ years of experience in a business-related data science and/or advance analytics role

- 3+ years of experience and /or M.S Computer Sciences, Statistics, Machine Learning & Artificial Intelligence,

  Physics, Mathematics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics,

  Computational Biology or a related discipline.

- PhD or BSc in a STEM (Science, Technology, Engineering, Mathematics) subject with equivalent knowledge is a

  plus

- Strong working knowledge of machine learning techniques, such as regression, decision trees, probability

  networks, association rules, clustering, neural networks and Bayesian models, as well as skills in text mining and

  data visualization.

- Clear understanding of data analysis workflows and statistical methods such as hypothesis testing and

  probability modeling.