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At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Korea Engineering and Technology Center (BKETC) is seeking a Data based in Seoul, South Korea to develop algorithms, models, and systems for our research projects, such as autonomy, aircraft manufacturing, factory digitalization, and pars sales forecasting. Data science work will include extracting, cleaning, analyzing, and visualizing data collected from various business domains at Boeing. This position will report to the Boeing Research and Technology Manager.
Job Responsibility:
Analyze large-scale time-series and tabular datasets to extract meaningful insights and identify actionable opportunities
Develop and implement advanced statistical models, machine learning algorithms, and forecasting techniques to predict future trends and outcomes
Design and execute experiments to evaluate model performance, validate hypotheses, and optimize algorithms for accuracy and efficiency
Collaborate with stakeholders to define business requirements, prioritize analytical projects, and translate findings into actionable recommendations
Build and maintain robust data pipelines and automated workflows to streamline data collection, preprocessing, and analysis processes
Communicate complex technical concepts and analytical findings to non-technical stakeholders through clear and concise presentations, reports, and visualizations
Stay abreast of the latest developments in data science, machine learning, and statistical techniques, and evaluate their potential impact on business objectives
Works with 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
Requirements:
Bachelor's or advanced degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
Proven experience (3~ years) in data science, with a focus on time-series and tabular data analytics
Proficiency in programming languages such as Python, and experience with libraries/frameworks such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
Strong understanding of statistical concepts, hypothesis testing, regression analysis, time-series modeling, and machine learning algorithms
Experience with data visualization tools such as Matplotlib, Seaborn, Plotly, or Tableau
Solid understanding of database systems, SQL, and data manipulation techniques for extracting, transforming, and loading (ETL) data
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
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
Nice to have:
Master’s or Ph.D. degree in Engineering, Computer Science, or Math etc.
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
Preferably experiences in Data processing and database programming skills, such as SQL or NoSQL
Experience in the whole lifecycle of a system development project ranging from developing a new service concept to launching as a service entry into this classification is limited to candidates approved by the enterprise-wide Data Science & Analytics Skills Team
What we offer:
Competitive base pay and incentive programs
Industry-leading tuition assistance program pays your institution directly
Resources and opportunities to grow your career
Up to $10,000 match when you support your favorite nonprofit organizations