Dow seeks to leverage AI and analytics to drive growth, optimize costs, and outperform the competition by enabling smarter decision-making across the enterprise through advanced data science and analytics.
Requirements
- Data Science: Ability to extract insights from complex datasets using statistical analysis, modeling, and machine learning techniques to inform business decisions
- Python: Proficiency in Python for data manipulation, modeling, and deployment of analytics solutions using libraries such as pandas, scikit-learn, and TensorFlow
- Generative AI: Experience applying models that generate text, code, or other content using techniques such as large language models (LLMs)
- Graph Databases: Familiarity with graph-based data structures and platforms (e.g., Neo4j) to model relationships and uncover insights through semantic reasoning
- Machine Learning: Ability to build, train, and evaluate predictive models using supervised and unsupervised learning techniques
- Machine Learning Operations (MLOps): Knowledge of tools and practices for deploying, monitoring, and maintaining machine learning models in production environments
- Natural Language Processing (NLP): Experience working with unstructured text data to extract meaning, classify content, or enable conversational interfaces
Responsibilities
- Lead the design of end-to-end data science analytics solutions using technologies such as Databricks, Microsoft Azure services, and Neo4j
- Guide and execute data preprocessing, harmonization, and feature engineering to prepare modeling datasets
- Research and apply emerging data science principles, theories, and techniques to inform business decisions
- Develop and validate machine learning, deep learning, and Generative AI solutions—selecting the least complex approach that meets business needs
- Deploy and maintain scalable analytics solutions
- Lead stakeholder conversations to translate business needs into data-driven recommendations
- Mentor junior data scientists and contribute to the development of best practices across analytics and AI domains
Other
- A minimum of a bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Chemistry, or a related quantitative field. or relevant military experience at or above a U.S. E5 ranking or Canadian Petty Officer 2nd Class or Sergeant. Master’s degree preferred.
- A minimum of 2 years relevant work experience.
- A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process.
- Stakeholder Management: Skill in engaging with cross-functional teams and business partners to understand needs, communicate insights, and drive alignment on data-driven strategies
- Strategic Thinking: Capacity to connect analytics work to broader business goals, anticipate future challenges, and guide teams toward impactful, long-term solutions
