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Data Scientist, Commercial Analytics - ExxonMobil
Data Scientist
Data Scientist focused on commercial analytics, leveraging Python, SQL, and machine learning to drive data‑driven decisions across energy and chemical markets, with expertise in AWS, Tableau, and statistical modeling.
About the role
Key Responsibilities
- Develop and deploy predictive models to forecast market trends and optimize commercial strategies.
- Extract, transform, and analyze large datasets using SQL and Python, ensuring data quality and integrity.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions.
- Visualize insights with Tableau and other BI tools to communicate findings to stakeholders.
- Maintain and enhance data pipelines on AWS, ensuring scalability and security.
Requirements
- Proven experience in data science, machine learning, and statistical modeling.
- Strong programming skills in Python and proficiency with SQL.
- Hands‑on experience with AWS services (S3, Redshift, SageMaker).
- Expertise in data visualization using Tableau or similar tools.
- Excellent communication skills and ability to work collaboratively in a fast‑paced environment.
Skills
pythonsqlmachine learningawstableau