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 Products & Analytics at PMI plays a critical role in applying advanced data science, predictive and prescriptive analytics, and emerging technologies such as Generative AI to generate insights, improve decision-making, and create business value across PMI’s transformation journey. 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 Role Level & Positioning This role is positioned as a Principle Data Scientist within the Data Science job level hierarchy, representing a senior individual contributor role with broad organizational influence.

It requires deep subject-matter expertise in Data Science, advanced analytics, and data-driven decision-making, with the ability to guide, coach, and influence stakeholders across the organization. The role is expected to create short- to mid-term operational plans, drive function-level initiatives, and improve processes, systems, or products through advanced data science methodologies, predictive and prescriptive analytics, and innovative problem-solving.

Purpose The Principle Data Scientist will lead the development and implementation of advanced data science methodologies, predictive and prescriptive analytics, and data-driven tools to support strategic decision-making across the organization. This role converts complex business needs into viable data products and proofs of concept, while managing expectations on delivery timelines, quality, and business value.

You will conceptualize, prototype, and implement algorithms and analytical solutions that address complex, undefined, and high-impact business challenges across functions. The role requires expert-level data science knowledge, strong project management capabilities, innovative problem-solving, and the ability to influence stakeholders through clear, data-driven storytelling.

Key Responsibilities

Develop and implement advanced data science methodologies to drive strategic decision-making across the organization. Create predictive models, statistical reports, and data analysis methodologies to identify trends, patterns, and business opportunities. Lead the creation of innovative tools, techniques, and processes that enhance data-driven research, insights, and decision-making.

Partner with business stakeholders to translate business needs into viable data products, analytical solutions, and proofs of concept. Manage expectations regarding delivery timelines, quality, scope, and business impact of data products and Po. Cs. Manage external Data Science teams and cross-functional contributors to support a product-based organization.

Leverage the latest developments in Generative AI and advanced analytics to improve efficiency in business processes. Resolve high-impact, multi-dimensional problems through cross-functional collaboration and innovative analytical approaches. Improve existing processes, systems, and products by conceptualizing and implementing significant enhancements based on data insights.

Communicate complex analytical outputs through compelling data-driven storytelling that supports executive understanding and action. Attitude & Values Strategic vision to define and articulate a clear long-term direction aligned with organizational goals. Data-driven decision-making mindset with the ability to evaluate options and guide business decisions using evidence and impact.

Critical thinking to question assumptions, assess complex information objectively, and develop sound recommendations. Strong communication and influencing skills to promote practices important for the function, both within and outside the team. Curiosity and innovative thinking to identify emerging scientific principles, theories, techniques, and technologies that can create business value.

Qualifications

(Required Skills & Experience) University degree or equivalent work experience in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related technical discipline. Expert-level knowledge of advanced data science techniques and their application to solve complex business problems. Proficiency in designing and implementing data architectures, predictive models, and analytical solutions that inform strategic decisions.

Strong project management skills to oversee and deliver complex, large-scale data science initiatives. Independence in conceptualizing, formulating, prototyping, and implementing algorithms to address business challenges. Strong capabilities in data analysis and interpretation, statistical analysis and modeling, machine learning and AI, and data visualization.

Experience applying predictive and prescriptive analytics to forecast outcomes and recommend actions based on probabilities and confidence levels. Knowledge of cloud and big data platforms to store, process, and analyze large and complex datasets efficiently. Ability to translate complex analytics into clear insights, compelling narratives, and practical business recommendations.

Excellent written and verbal communication skills in English; Korean proficiency is an advantage.

Preferred Qualifications

Experience leading or coordinating external Data Science teams, vendors, or cross-functional contributors. Hands-on experience with Generative AI technologies and their application to business process improvement. Experience delivering data products, proofs of concept, or analytics solutions in a product-based organization.

Experience working across business domains such as market economics, supply chain, marketing, advertising, or scientific research. Advanced degree or certifications in Data Science, AI, cloud platforms, statistics, or related technologies are preferred. Other Skills Data-driven storytelling: ability to transform data into clear, meaningful narratives that support informed decisions and business impact.

Strategic communication: ability to anticipate what needs to be communicated, tailor messages for stakeholders, and promote functional best practices. End-to-end solution orientation: ability to improve processes, systems, or products by identifying opportunities and implementing data-led enhancements. Business partnership: ability to work with stakeholders to clarify needs, shape analytical priorities, and convert business questions into scalable data solutions.

Leadership without direct authority: ability to guide, coach, train, and influence employees across the company within the area of expertise. 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. <div