Data Scientist

Job Title: Data Scientist
Work Location: The Woodlands
Education/Experience Required: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field

• Partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
• Articulate the financial or business impact of their models
• Experience with pricing/financial models
• Experience to explain business impact and why modeling decisions were made.
• Need both AI experience (e.g., LangChain, LangGraph or similar tool) and strong API development skills, plus the ability to explain complex AI topics to non-technical stakeholders

Responsibilities:

• Develop, deploy, and maintain machine learning models and advanced analytics solutions
• Design and build scalable data pipelines and data products
• Perform data analysis, feature engineering, forecasting, and statistical modeling
• Create dashboards, reports, and self-service analytics tools to support decision-making
• Monitor, improve, and support production analytics solutions
• Present findings and recommendations to both technical and non-technical audiences
• Drive measurable business impact through data-driven insights and operational improvements
• Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Skills & Qualifications:

• Strong proficiency in Python and SQL
• Experience building and deploying production machine learning or analytics solutions
• Experience developing and maintaining data pipelines
• Strong knowledge of statistics, hypothesis testing, and model evaluation techniques

Preferred Qualifications

• Experience with Databricks, Spark, or PySpark
• Experience with cloud platforms such as AWS or Azure
• Experience with Tableau, Power BI, or other data visualization tools
• Experience with modern data architectures and lakehouse environments
• Experience developing AI-enabled applications
• Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics