Senior Data Scientist at Philip Morris International

What You’ll Be Doing

• Apply advanced mathematics, statistics, and data mining techniques to extract valuable insights from data.
• Build and deploy robust analytics and machine learning models using modern programming tools.
• Interpret complex data and translate it into clear, actionable information for non-technical audiences.
• Craft compelling data stories through easy-to-understand visuals, reports, and presentations.
• Collaborate with cross-functional teams to craft strategies that rely on data-driven thinking.
• Mentor junior team members and contribute to a culture of knowledge-sharing.
• Stay curious and current with the latest advancements in AI and data science.
• Manage multiple projects with attention to detail and deliver high-quality work within deadlines

What You’ll Bring

• A bachelor’s degree in data science, Computer Science, Statistics, or a related field
• At least 5 years’ experience in data science, or similar role
• Strong storytelling with the ability to convert data into business insights & recommendation is key
• Strong proficiency in Python, SQL, and relational databases.
• Practical experience with ML/AI frameworks and open-source data science tools.
• Familiarity with natural language processing (NLP) is a plus.
• Knowledge of version control (Git) and collaborative tools.
• Hands-on experience with cloud technologies, especially AWS (S3, EC2, SageMaker).
• Experience with Jupyter, Snowflake, Docker, and the Atlassian suite (Bitbucket, JIRA, Confluence).
• Proficient in data governance and standard methodologies for data management.
• Excellent communication skills — you know how to break down complex concepts so everyone understands the insights and next steps.
• Someone who demonstrates curiosity and optimally communicates stories through data to encourage action.
• Strong organizational skills and the ability to work independently.