Job Description
At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. 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 Scientist based in Seoul, South Korea to develop algorithms, models, and systems for our research projects, such as autonomy, aircraft manufacturing, factory digitalization, and parts sales forecasting. Data science work will include extracting, cleaning, analyzing, and visualizing data collected from various business domains at Boeing.
Work Location : ASEM Tower (Samsung-dong, Seoul, South Korea)
Job Responsibilities
You will be responsible for extracting valuable insights from complex datasets, identifying patterns, trends, and anomalies, and developing predictive models to support strategic decision-making across the organization. You will collaborate closely with cross-functional teams to design and implement data-driven solutions that address business challenges and drive continuous improvement
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
Basic Qualifications (Required Skills/Experience)
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 &34;roll up your sleeves&34; attitude with a strong drive for success
Preferred Qualifications (Desired Skills/Experience)
Advanced degree (e.g. Bachelor, Master or Ph.D. in Computer Science, Statistics, Math, Engineering or etc.) preferred, but not required.
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
This is for an international, locally hired position. Candidates must be legally authorized to work in the country where the position is located. Benefits and pay are determined at the local level and are not on Boeing US-based payroll.
Boeing gives additional scores to eligible candidates for job positions who are classified as veterans or persons of disability according to applicable laws.
Boeing Korea has officially been certified as a “Best Family Friendly Management” company by the Republic of Korea Ministry of Gender Equality and Family.
Export Control Requirements: Not an export control position
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
