Data Scientist I - Digital

Westlake•Houston, TX

7d•Onsite

About The Position

Westlake Corporation AI & Digital Office operates at the heart of the strategic direction of our enterprise. The Digital Office team drives digital transformation across the enterprise’s entire portfolio to achieve growth through leapfrogging customer experience and operational excellence. As a member of the AI & Digital Office, the Data Scientist I - Digital will work with Data Scientists, Data Analysts, business partners, and functional subject matter experts to design and build AI agents and agent-enabled workflows that align to existing business objectives and deliver measurable value. As a Data Scientist at Westlake Corporation, they will provide hands-on engineering support for AI & Digital Office initiatives. This includes developing and testing AI agents in Python, integrating tools and enterprise data sources via APIs, documenting and debugging agent behavior, and contributing to deployment and operationalization on Microsoft Azure. They will collaborate closely with technical and non-technical stakeholders to translate business needs into reliable, secure, and maintainable agent solutions.

Requirements

Proficient in programming and markup languages such as Python, SQL, and familiarity with machine learning tools and AI platforms.
Ability to present ideas in user-friendly language to a non-technical audience.
Ability to conduct research into data science operational issues, standards, and products as required.
Analytical and problem-solving abilities, with a strong foundation in statistics, machine learning, LLMS, software development, and AI agent development.
Hands-on experience developing and testing AI agents using Python, including prompt/tool orchestration, API integration, and basic evaluation/debugging workflows.
Proficiency with modern developer tooling for agent development, including VS Code, Git, and agent-coding platforms/frameworks, and familiarity with deploying or integrating solutions on Microsoft Azure.
Ability to effectively prioritize and execute tasks in a high-pressure environment.
Undergraduate degree in Computer Science, Computer Engineering, or equivalent

Nice To Haves

Experience developing business solutions with tools & frameworks such as Pandas, Scikit-learn, TensorFlow, or PyTorch is a plus.
Experience with modern cloud application technical architecture
Familiarity with version control systems such as Git and development environments like Jupyter Notebooks or VS Code.

Responsibilities

Receives instruction, direction, and guidance from senior data scientists, MLOps engineer, and project team members
Develop and implement AI workflows and applications as part of existing project milestones
Investigate approaches to solve novel data science problems with other technical team members
Learn and use data science and software development best practices in projects
Work with senior team members to collect, clean, and preprocess data for analysis.
Assist in the development and implementation of machine learning algorithms and statistical models.
Help maintain data pipelines and ensure the integrity and quality of data used in analyses.
Support the team in the interpretation of data and communication of findings to non-technical stakeholders.
With proper oversight, participate in the design and testing of predictive models and LLM custom workflows.
Assist senior team members in fine-tuning models to improve accuracy and performance.
Help evaluate new data sources for model enhancement and feature engineering.
Contribute to the deployment of machine learning models into production environments.
Work with senior team members to explore and integrate new technologies and methodologies in AI and data science.
Assist in research and assessment of the latest trends and developments in machine learning and AI.
Participate in the setup and evaluation of new analytical tools and software for the team.