Data Scientist; Woodlands, TX

Job Title

Data Scientist

The Woodlands

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; 2-4 years of relevant industry work experience in Data Science

Our client is looking for an intelligent, proactive, and results‑driven Data Scientist to join our team. In this role, you’ll work closely with the Financial Planning, Analysis & Performance Optimization Department and partner directly with IT to transform raw data into actionable strategies.

With minimal travel required, you’ll focus on leveraging advanced analytics to optimize processes, improve decision‑making, and deliver measurable value.

If you’re a go‑getter with a passion for solving complex problems using cutting‑edge tools, we want to hear from you!

• Data Analysis & Insights

  • Analyze large datasets to identify trends, inefficiencies, and opportunities for performance improvement.
  • Provide actionable recommendations to optimize operational and financial performance.

• Model Development & Deployment

  • Develop and deploy predictive models and machine learning algorithms to support business objectives.
  • Leverage advanced analytics platforms, such as Databricks, for scalable data processing.

• Data Integration

  • Collaborate with IT and cross‑functional teams to integrate data solutions into existing systems and workflows.

• Reporting & Visualization

  • Design and maintain dashboards and reporting insights to stakeholders.

• Data/AI strategy & roadmap

  • Identify and develop future AI use cases across the organization, driving innovation and helping shape the company’s long‑term Data Science and AI strategy.
  • Stay current with industry trends and emerging technologies to continually enhance our data capabilities.

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2-4 years of relevant industry work experience in Data Science.
• Significant relevant experience building and deploying Data Science solutions. Relevant topics include customer segmentation/clustering, pricing, optimization, and experimentation.
• Deep technical and data science expertise, with demonstrated experience in one or more of the following areas:
  • Analytical methods: statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests), design of experiments, segmentation/clustering methods, mixed‑integer linear optimization.
  • Analytics tools:
    Data wrangling (e.g. SQL), Versioning (e.g. Git), Data Modeling (e.g. Python), Data processing frameworks (e.g. Spark/PySpark), Data visualization (e.g. Tableau).
  • Data management environments:
    Analytics platforms (e.g. Databricks), data pipeline development (e.g. AWS Glue) a plus.
• Experience building in‑production models, including associated scripting, error handling and documentation.
• Proven ability to drive P&L impact through analytics.
• Exceptional problem‑solving skills and a proactive, self‑starter mindset.
• Ability to communicate complex technical concepts to non‑technical stakeholders.
• Strong collaboration skills to work effectively with IT and other departments.
• Bonus:
  Familiarity with Pigment or similar business planning tools.

For more information or to view other opportunities, visit us at  Paladin Consulting is an EEOC employer.