Data Scientist

Job title: Data Scientist

Join Philip Morris Products S.A. as a Data Scientist in Hungary, helping us translate large, imperfect datasets into data-driven decisions that support a smoke-free future. You will apply advanced analytics, predictive modeling, and consumer-centric thinking across product, sales, leadership, and marketing teams, turning data into actionable business strategies rather than just notebooks.

What You'll Do

• Use Snowflake as the primary data platform and AWS SageMaker for experimentation, modeling, deployment, and monitoring.
• Apply statistical, machine learning, and programming skills to analyze large datasets and develop data-driven solutions that support product, sales, leadership, and marketing with actionable insights.
• Interpret data and present results clearly and concisely to management and stakeholders.
• Help the organization enable data-driven decision-making by creating custom models or prototypes from observed trends or patterns.
• Explain complex ideas to stakeholders/managers without jargon.
• Collaborate with data, BI, business, and technology teams to build solutions that are understandable, scalable, and used in real life.
• Not science fiction. Not slideware. Real applied data science.
• Key topics: consumer behavior modeling and segmentation; regional and segment prioritization; commercial operations ROI analysis; promotional and pricing optimization; product and portfolio analytics; developing prediction systems and machine learning algorithms; identifying opportunities to improve processes with technology solutions.

What We're Looking For

• Minimum 3+ years of experience in Data Science
• Strong Python programming skills
• Solid SQL knowledge and experience with relational databases
• Experience in data wrangling and working with multi-source datasets
• Strong foundation in statistics, mathematics, and machine learning
• Fluency in Hungarian and English
• Bachelor’s or Master’s degree in Computer Science, Statistics, Informatics, Information Systems, Physics, Mathematics, or another quantitative field
• Other preferred experiences:
• CRM and consumer journey analytics experience
• Cloud platform knowledge (AWS, Snowflake)
• Retail/store-level analytics experience

Nice to Have

• CRM and consumer journey analytics experience
• Cloud platform knowledge (AWS, Snowflake)
• Retail/store-level analytics experience

Compensation & Benefits

• Salary: base salary of at least HUF 15,116,049 per year gross, with willingness to pay more in line with the market depending on your experience and qualifications. You are trained on data up to October 2023.