Summary

Seeking a highly analytical and forward-thinking Data Scientist to join our team in The Woodlands, TX. This role involves partnering with the Financial Planning, Analysis & Performance Optimization group and collaborating closely with IT to convert complex datasets into actionable insights. You'll play a key role in driving data-driven strategies that enhance operational efficiency and business performance. Minimal travel is required. If you thrive on solving challenging problems with advanced tools and innovative approaches, this opportunity is for you.

Responsibilities:

Data Analysis & Insights

Examine large datasets to uncover patterns, inefficiencies, and improvement opportunities.
Deliver recommendations that enhance financial and operational outcomes.

Model Development & Deployment

Build and implement predictive models and machine learning algorithms aligned with business goals.
Utilize scalable analytics platforms such as Databricks for data processing.

Data Integration

Work with IT and cross-functional teams to embed data solutions into existing systems and workflows.

Reporting & Visualization

Create and maintain dashboards and reports to communicate insights to stakeholders.

Data/AI Strategy & Roadmap

Identify potential AI applications and contribute to shaping long-term data science and AI initiatives.
Stay informed on emerging technologies and industry trends to strengthen data capabilities.

Qualifications

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related discipline.
3+ years of professional experience in data science roles.
Proven track record in developing and deploying data science solutions, including areas such as segmentation, pricing, optimization, and experimentation.

Strong technical expertise in:

Analytical methods: Statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests), experimental design, clustering, optimization techniques.
Tools: SQL for data wrangling, Git for version control, Python for modeling, Spark/PySpark for processing, Tableau for visualization.
Platforms: Databricks for analytics, AWS Glue for pipeline development.
Experience creating production-ready models with robust scripting, error handling, and documentation.
Demonstrated ability to influence P&L through data-driven insights.
Excellent problem-solving skills and a proactive approach.
Strong communication skills for translating technical concepts to non-technical audiences.
Effective collaboration with IT and other business units.

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

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