데이터분석 직무관련 취업 준비하시는 분들이 꼭 준비해야할 것

여기서 채용공고보다 데이터 사이언티스트 채용공곤데 정말 딱 데이터분석관련해서 준비하시는들이 꼭 준비해야할 스펙들이 있어 공유합니다.

보잉사의 데이터 사이언티스트 채용공곤데 내용중에 자격요건하고 우대사항보니깐 딱 취준생분들이 준비해야할 내용들이 정말 상세하게 적혀 있어서 이대로만 준비해 나가면 될 것 같네요.

데이터 사이언티스트 공고들 보면 자격요건이나 업무내용이 그렇게 상세하게 안적혀 있어서 이 쪽분야로 들어오시는 취준생들은 정말 뭘 어떻게 준비해야할지 모르는 경우가 많은데 이 공고는 정말 자세하게 적혀있어서 엔트리레벨부터 주니어레벨까지를 아우를 수 있는 커리어라고 보면 될것 같습니다. 물론 내용이 많긴합니다. 준비해야 할것도 많죠. 근데 뭘해야할지 모르는것보단 훨 나은거 같아요~ 딱 이렇게 하면 정말 데이터신이겠지만 물론 현실적으론 어려워도 이와 유사하게만 스킬익히고 커리어를 그려나가시면 이쪽 분야에서는 취업이 가능할 것 같습니다.

특히 기본자격요건보다 우대사항이 상세하게 적혀있는데 잘 보시고 모든 데이터 사이언티스트 관련 취업이나 이직준비하실 때 참고하시면 될 것 같아요.

Job Responsibilities

• Conduct Exploratory Data Analysis (EDA) on real-time data focused on autonomous flight, aircraft manufacturing, or factory digitalization using machine learning, data/text mining, or statistics
• Works with Data Engineers and MLOps Engineers to derive crucial features from the data processed in ML models
• Works with a Project Lead and a Program Management Specialist to decompose and partition system requirements to software requirements
• Works as a member of the international team with the members in one or more countries where English is the common language

Basic Qualifications (Required Skills/Experience)

• Good understanding of machine learning, deep learning, or other data/text mining techniques, such as regression, time series analysis, hypothesis testing, classification, or clustering
• Experience with Python programming language and writing SQL queries
• Bachelor’s degree in Engineering, Computer Science or Math etc
• Experience in extracting, cleaning, analyzing, and visualizing data to stream datasets
• Applicants must have the enthusiasm to learn new technologies and expand related skillsets
• This role requires creativity, critical thinking, and troubleshooting skills, at least, for Exploratory Data Analysis (EDA) work
• Design and implementation of new dashboards for users
• Good understanding of statistical and data analysis techniques
• Strong verbal and written communication skills in English and Korean
• The ideal candidate is a self-starter and someone who works well within a team
• Highly motivated “roll up your sleeves” attitude with a strong drive for success

Preferred Qualifications (Desired Skills/Experience)

• Master’s or Ph.D. degree in Engineering, Computer Science, or Math etc
• Good to have in-depth knowledge in machine learning frameworks or libraries such as TensorFlow, Keras, PyTorch etc
• Good to have in-depth experience in CV or NLP libraries such as OpenCV, NLTK, etc
• Preferably experiences in Visualization Tools, such as Tableau and Qlik
• Preferably experiences in Data processing and database programming skills, such as SQL or NoSQL
• Experience in container tools such as Docker
• Good understanding of DevOps/MLOps system development to automate model training and testing (GitOps, ArgoCD, Kubernetes, Helm, etc)
• In-depth knowledge in MLOps and CE(Continuous Exploration)/ CI(Continuous Integration)/ CT(Continuous Testing)/ CD(Continuous Delivery)
• Academic experience in a numerical study such as Computer science, Electrical Engineering, Statistics, or Industrial Engineering
• Experience in the whole lifecycle of a system development project ranging from developing a new service concept to launching as a service
• Experience in processing various forms of raw data such as videos, images, texts, or audios
• Web programming Skill (Typescripts, JavaScript, CSS) with Modern Web Framework (React/Vue.js/Angular 2+)
• Experience in frameworks or libraries such as Flask, RabbitMQ, or Redis
• Experience in developing Microservices architecture and API Frameworks supporting application development
• Good to have at least an intermediate level of knowledge in aircraft manufacturing or flight operation
• Nice to have winning experience in machine learning or data science competition challenges
• Nice to have your git repository shared with well-organized projects inside