What you will do
- Collaborate with data scientists, data analysts, software developers, business representatives from chemical, lubricants, and fuels value chains, and demand planners globally to develop, deliver, and apply computational tools, models, or software to support our business.
- Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial and logistics problems and provide business insights.
- Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations.
Skills and Qualifications
- Bachelor s, Master s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0).
- At least 2 years of experience in developing, applying, and validating data-driven tools to model complex systems.
- In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods).
- Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale.
- Specialization in at least one sub-domain, such as time series forecasting, econometrics, statistics, or NLP.
- Proficiency in Python and R, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
- Experience with software engineering practices, agile methodologies, DevOps, and version control.
- Experience working with Azure Databricks or other data science frameworks.
- Familiarity with software testing and development practices (Agile).
- Experience with data visualization tools (e.g., Tableau, Power BI).
Preferred Qualifications / Experience
- Knowledge of supply chain operations, including demand planning, inventory optimization, vehicle routing, and network optimization.
- Prior experience in commercial software development or working in commercial software teams.
- Ability to identify and scope data science opportunities based on business needs.
- Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment.
- Excellent problem-solving skills and attention to detail.
