Position Title:  Principal Data Scientist

Principle Data Scientist

BE A PART OF A REVOLUTIONARY CHANGE

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business, and building our future on smoke-free products.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

Data Science at PMI plays a critical role in transforming data into meaningful insights and scalable analytical solutions. By applying advanced analytics, machine learning, and emerging technologies such as Generative AI, this role helps drive effective decision-making, business value creation, and PMI’s ongoing transformation.

TERMS OF EMPLOYMENT

• Contract Type: Permanent
• Work location: Philip Morris Korea, 10, Gukjegeumyung-ro, Yeongdeungpo-gu, Seoul, Korea / Philip Morris Korea, 67, Sanmakgongdannam 12-gil, Yangsan-si, Gyeongsangnam-do

Purpose

The Principle Data Scientist will apply advanced data science techniques to analyze data, build diagnostic, predictive, and prescriptive analytics solutions, and generate valuable insights from data.

You will work with both structured and unstructured data, using specialized programming languages, cloud platforms, and data science tools to support effective decision-making and create business value.

You will leverage novel technologies, including Generative AI, to automate and enhance data science workflows, while collaborating with data engineers and cross-functional teams to integrate data science solutions into business processes.

This role requires strong analytical thinking, technical expertise, natural curiosity, and the ability to communicate insights clearly to stakeholders through reports and visualizations.

Key Responsibilities

• Apply mathematics, statistics, data mining, predictive, and prescriptive modeling techniques to generate insights from data
• Develop and implement data science models using specialized programming languages and tools
• Source, prepare, and clean structured and unstructured data for analysis
• Identify, validate, and utilize internal and external data sets to support business needs
• Develop hypotheses and explore data using models and analytics sandboxes

• Evaluate and improve the performance of data science models
• Work closely with data engineers to ensure data pipelines are optimized for model training and deployment
• Communicate findings and insights to stakeholders through reports and visualizations
• Collaborate with cross-functional teams to integrate data science solutions into business processes
• Leverage emerging technologies, including Generative AI, to automate and enhance data science workflows

Attitude & Values

• Natural curiosity to explore data and uncover hidden patterns
• Innovative mindset to develop new models, methods, and analytical approaches
• Strong analytical and problem-solving skills with attention to detail
• Collaborative approach with excellent communication and teamwork abilities
• Ability to manage multiple projects and deadlines efficiently

Qualifications (Technical Skills)

• Proficiency in Python
• Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn
• Knowledge of machine learning frameworks such as TensorFlow or PyTorch
• Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly
• Experience with cloud platforms, specifically Amazon AWS including S3, EC2, and SageMaker

Preferred Qualifications

• M.Sc. degree in Data Science, Computer Science, Statistics, or a related field
• Minimum 2 years of experience in data science or a similar role
• Experience with big data technologies such as Spark
• Knowledge of natural language processing techniques
• Familiarity with version control systems such as Git
• Experience with open-source data science tools and libraries
• Certifications in AWS or related technologies
• Experience with data governance and data management best practices

Other Skills

• Experience with Jupyter, Snowflake, Docker, and Atlassian suite including Bitbucket, JIRA, and Confluence
• Understanding of SQL and experience with relational databases
• Excellent communication skills to translate complex analytical findings into clear business insights
• Strong teamwork and stakeholder collaboration capabilities
• Proficient in Korean and English, both verbal and written
• Self-motivated, detail-oriented, and comfortable working in a fast-moving organization

SPECIAL CONSIDERATIONS

We encourage application from veterans eligible for employment support under the Act on Preferential Treatment or persons with disabilities under the Employment Promotion and Vocational Rehabilitation Act.

WHAT WE OFFER

Our success depends on the men and women who come to work every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:

• Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
• Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.
• Be able to work in flexible work schedule (half-day Fridays), and receive competitive compensation & benefits including Group life and accident insurance, Welfare card etc.

HOW TO APPLY

• Go PMI career site, "www.pmi.com/careers" and set ‘South Korea’ and search for the job
• Click ‘Apply Now’ button and ‘Upload a File’ for new applicants
• Upload your English Resume either in Word or PDF format (merge your files into one file named as your English name, i.e., CV Gildong Hong)
• Fill in basic information such as employment and education
• Create password and submit application

At PMI, we are committed to equal employment opportunity and inclusion and workplace diversity. Our focus is on creating an environment where our employees from across the globe can be their true selves at work, contribute their best, support each other, and drive the innovation and consumer-centricity needed to help us to achieve our vision of a smoke-free future

That means a work environment where personal situations are understood, differences are valued, and everyone is treated with fairness and respect. We are promoting an environment where every voice is heard and valued, regardless of gender identity, age, race, nationality, ethnicity, sexual orientation, religion, disability, or any other characteristic that makes them visible or invisible.