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Principal Data Scientist
- 給与
- 記載なし
- 勤務地
- 記載なし
- 休日
- 記載なし
- 雇用形態
- 正社員
どんな仕事かAIによる生成
The Principal 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. The role translates complex business needs into data products, proofs of concept, and analytical solutions, and works across functions to address high-impact business challenges.
この求人に応募
応募資格
必須
- 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.
歓迎
- 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.
求める人物像
- 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.
- 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.
応募について
- 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.
募集要項最終確認 10/26
- 職種
- データサイエンティスト
- 雇用形態
- Contract Type: Permanent
- 役職
- Principal Data Scientist
- 給与
- 記載なし
- 勤務地
- Philip Morris Korea, 10, Gukjegeumyung-ro, Yeongdeungpo-gu, Seoul, KoreaPhilip Morris Korea, 67, Sanmakgongdannam 12-gil, Yangsan-si, Gyeongsangnam-do
- 働き方
- 記載なし
- 勤務時間
- Be able to work in flexible work schedule (half-day Fridays)40 hours per week
- 福利厚生
- Be able to work in flexible work schedule (half-day Fridays)receive competitive compensation & benefits including Group life and accident insurance, Welfare card etc.
- 選考の流れ
- Go PMI career site, "www.pmi.com/careers" and set ‘South Korea’ and search for the jobClick ‘Apply Now’ button and ‘Upload a File’ for new applicantsUpload 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 educationCreate password and submit application
- 掲載日
- 2026/10/15 10:26（12日前）
- 最終確認
- 2026/10/26 22:21（1日前）
仕事内容
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 PoCs.
- 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.
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